DATA = Study 6 - 58 Topics

The MEANS Procedure

Variable N Mean Std Dev Minimum Maximum
IAT
expdiff
avgpersonD
6315
5789
5765
0.2774237
0.5106236
0.0103574
0.4777076
2.9754407
2.5513422
-1.2794782
-8.0000000
-8.4182636
1.6304098
8.0000000
7.5817364


DATA = Study 6 - 58 Topics

The MEANS Procedure

Analysis Variable : IAT
STDYNAME N Obs N Mean Std Dev
africanamericaneuropeanameri 124 124 0.2709473 0.4338213
approachingavoiding 79 79 0.8358355 0.4013498
asianswhites 123 123 0.2573358 0.4076953
bookstelevision 124 124 0.0800582 0.4233565
canadianamerican 114 114 0.2730949 0.3819160
capitalpunishmentimprisonmen 102 102 0.1607713 0.3745235
catsdogs 135 135 0.1620904 0.4359768
classicalhiphop 134 134 0.3110977 0.4541983
coffeetea 108 108 0.1183472 0.4386869
cokepepsi 103 103 0.0901952 0.3908275
creationismevolution 99 99 0.0893281 0.5202132
defenseeducation 102 102 0.6238256 0.3810681
democratsrepublicans 94 94 0.2523735 0.5350375
drinkingabstaining 107 107 0.4191408 0.4806495
exercisingrelaxing 104 104 0.0239259 0.5503799
familycareer 102 102 0.5585848 0.3192200
feminismtraditionalvalues 103 103 0.1673288 0.4796178
flexiblestable 91 91 0.0326021 0.4807646
foreignplacesamericanplaces 99 99 0.3665128 0.4446117
freedomsecurity 103 103 0.3120644 0.4014011
futurepast 136 136 0.6264971 0.3324224
gaypeoplestraightpeople 116 116 0.3632849 0.3919548
gorebush 108 108 0.1122176 0.5279501
gunrightsguncontrol 74 74 0.0848543 0.4597548
hotcold 95 95 0.1326635 0.6026112
jaylenodavidletterman 80 80 0.0714129 0.3748796
jazzteenpop 111 111 0.1428168 0.4778940
jewchristian 130 130 0.3529826 0.4361352
jewsmuslims 120 120 0.3058356 0.3658509
jocksnerds 134 134 0.1132765 0.4362252
juliarobertsmegryan 119 119 -0.0087306 0.4057267
labormanagement 97 97 0.0259747 0.4204531
leadershelpers 110 110 0.0304503 0.4817208
lettersnumbers 124 124 0.3656863 0.3941278
liberalsconservatives 93 93 0.3193633 0.5554329
malesfemales 124 124 0.4367928 0.4276816
marriedsingle 122 122 0.2941853 0.4971483
mcdonaldsburgerking 138 138 0.2552594 0.3793635
microsoftapple 92 92 0.0465208 0.4232379
newyorkcalifornia 104 104 0.2038832 0.4408680
northernerssoutherners 116 116 0.1635166 0.5238841
oldpeopleyoungpeople 100 100 0.4080378 0.3464448
pantsskirts 106 106 0.2955820 0.3938681
prochoiceprolife 100 100 0.0307820 0.5185828
publicprivate 78 78 0.3164608 0.4925459
reasonemotions 92 92 0.3055919 0.4194612
rebelliousconforming 106 106 0.4209063 0.4951204
religionatheism 118 118 0.4695890 0.4684609
richpeoplepoorpeople 122 122 0.8045618 0.3372941
simpledifficult 107 107 0.7118115 0.4543091
summerwinter 108 108 0.4745822 0.5016094
tallpeopleshortpeople 115 115 0.0187029 0.5157910
taxreductionssocialprograms 97 97 0.3089344 0.3873370
thinpeoplefatpeople 122 122 0.3491528 0.4227997
tomcruisedenzelwashington 108 108 0.1500372 0.3283462
usajapan 116 116 0.4271998 0.3364619
vegetablesmeat 124 124 0.3924030 0.4072370
yankeesdiamondbacks 103 103 0.1784534 0.3787282


DATA = Study 6 - 58 Topics

The MEANS Procedure

Analysis Variable : expdiff
STDYNAME N Obs N Mean Std Dev
africanamericaneuropeanameri 124 115 0.1391304 2.0256554
approachingavoiding 79 73 2.4931507 3.2494584
asianswhites 123 114 0.6228070 1.8065287
bookstelevision 124 115 1.2173913 2.7331064
canadianamerican 114 101 -0.1485149 2.2951520
capitalpunishmentimprisonmen 102 92 1.3586957 2.9411126
catsdogs 135 125 -0.6960000 3.1628489
classicalhiphop 134 125 0.7280000 3.4812308
coffeetea 108 98 0.4591837 3.0668442
cokepepsi 103 97 0.5360825 2.7274143
creationismevolution 99 88 -2.7500000 4.7081490
defenseeducation 102 92 2.7608696 2.2647299
democratsrepublicans 94 84 2.1428571 4.1395619
drinkingabstaining 107 99 1.3232323 3.7247881
exercisingrelaxing 104 96 1.3958333 2.5934296
familycareer 102 96 1.0833333 2.1059648
feminismtraditionalvalues 103 92 0.1956522 2.8870272
flexiblestable 91 85 0.3529412 2.0970835
foreignplacesamericanplaces 99 97 0.3195876 2.4475600
freedomsecurity 103 89 1.1123596 1.7018586
futurepast 136 124 1.2177419 2.4973498
gaypeoplestraightpeople 116 110 1.4545455 2.6323198
gorebush 108 96 1.6979167 4.2652076
gunrightsguncontrol 74 70 2.9285714 4.1189609
hotcold 95 82 -1.1463415 3.0636134
jaylenodavidletterman 80 76 0.4473684 2.8255724
jazzteenpop 111 105 -1.2190476 2.7941593
jewchristian 130 125 -0.2000000 1.8139246
jewsmuslims 120 114 0.6754386 1.7320284
jocksnerds 134 125 0.6480000 2.6918515
juliarobertsmegryan 119 110 0.4727273 1.7489661
labormanagement 97 84 -0.5833333 2.6806236
leadershelpers 110 100 -1.2400000 1.9751998
lettersnumbers 124 110 0.9000000 2.0496140
liberalsconservatives 93 85 1.8823529 4.2043395
malesfemales 124 112 0.1428571 1.9629778
marriedsingle 122 113 1.4690265 2.8000982
mcdonaldsburgerking 138 130 0.0692308 2.3532543
microsoftapple 92 81 0.3580247 3.1555849
newyorkcalifornia 104 95 0.3052632 2.4843068
northernerssoutherners 116 107 0.4018692 2.2522936
oldpeopleyoungpeople 100 91 0.4285714 1.9387445
pantsskirts 106 97 -0.7113402 2.1648651
prochoiceprolife 100 90 0.9666667 5.0668564
publicprivate 78 71 -1.2394366 1.9600641
reasonemotions 92 85 -0.0941176 2.0564853
rebelliousconforming 106 94 -0.5851064 3.5360192
religionatheism 118 103 0.7475728 4.5432960
richpeoplepoorpeople 122 111 -0.5765766 2.1555406
simpledifficult 107 99 1.1919192 2.9090877
summerwinter 108 100 1.8200000 3.4034445
tallpeopleshortpeople 115 102 -0.0686275 1.3294814
taxreductionssocialprograms 97 91 0.8131868 3.2554641
thinpeoplefatpeople 122 116 0.9310345 2.0333059
tomcruisedenzelwashington 108 101 -1.0495050 1.6755670
usajapan 116 105 1.0380952 2.4726341
vegetablesmeat 124 117 1.1880342 3.1946389
yankeesdiamondbacks 103 89 0.0786517 2.3414483


DATA = Study 6 - 58 Topics

The MEANS Procedure

Analysis Variable : avgpersonD
STDYNAME N Obs N Mean Std Dev
africanamericaneuropeanameri 124 114 1.4238417 2.2911100
approachingavoiding 79 71 1.1310322 2.5002213
asianswhites 123 111 0.2484031 1.9969674
bookstelevision 124 114 -2.1638776 1.8568763
canadianamerican 114 103 -1.0104966 2.2071048
capitalpunishmentimprisonmen 102 89 0.3682532 1.8736929
catsdogs 135 124 -1.9182636 1.7829363
classicalhiphop 134 125 -1.2102636 2.2905697
coffeetea 108 99 -1.6000818 1.7633667
cokepepsi 103 97 -0.0368203 1.4961290
creationismevolution 99 88 -0.3387182 3.3121913
defenseeducation 102 91 0.3839342 1.8810150
democratsrepublicans 94 82 -0.0402148 1.5367132
drinkingabstaining 107 99 -1.7010919 2.3036812
exercisingrelaxing 104 95 2.0238417 2.0143939
familycareer 102 95 0.3606838 2.1594865
feminismtraditionalvalues 103 91 -1.8138680 1.9881824
flexiblestable 91 86 -1.3484962 2.2480878
foreignplacesamericanplaces 99 96 0.8213197 2.7096117
freedomsecurity 103 86 0.4422015 2.0872881
futurepast 136 122 0.3194413 1.9742277
gaypeoplestraightpeople 116 109 3.3523786 2.3239216
gorebush 108 95 0.1185785 2.4004012
gunrightsguncontrol 74 70 0.2531650 2.1108514
hotcold 95 85 -1.6653224 2.2461919
jaylenodavidletterman 80 76 -0.6682636 1.5842980
jazzteenpop 111 105 -0.7230255 2.1399308
jewchristian 130 124 0.8559299 1.9099172
jewsmuslims 120 114 0.7308592 1.8203980
jocksnerds 134 125 -2.4102636 2.4576936
juliarobertsmegryan 119 108 -0.1775229 1.6848438
labormanagement 97 82 -1.2475319 2.2922568
leadershelpers 110 101 -1.1905408 2.3404324
lettersnumbers 124 109 0.2147639 1.3988127
liberalsconservatives 93 85 -0.4888518 2.5391611
malesfemales 124 112 -0.0611208 1.8495538
marriedsingle 122 114 1.8975259 2.2978088
mcdonaldsburgerking 138 131 0.2458585 1.3621854
microsoftapple 92 82 0.0085657 2.5241084
newyorkcalifornia 104 95 0.2448943 2.2102783
northernerssoutherners 116 108 -0.0293747 1.7284499
oldpeopleyoungpeople 100 91 -0.5611208 2.1059251
pantsskirts 106 97 -0.7997069 1.8621409
prochoiceprolife 100 89 -0.9800614 2.5891165
publicprivate 78 71 -0.8267143 1.6087037
reasonemotions 92 85 -0.2064989 2.3709257
rebelliousconforming 106 94 2.4753534 2.8111456
religionatheism 118 101 2.3342116 2.5550184
richpeoplepoorpeople 122 111 1.2934481 3.0402972
simpledifficult 107 97 2.3961694 2.4123376
summerwinter 108 99 2.9150697 2.4159335
tallpeopleshortpeople 115 102 -1.4770871 1.5971728
taxreductionssocialprograms 97 92 -1.6139158 2.0714656
thinpeoplefatpeople 122 114 2.9150697 2.5019167
tomcruisedenzelwashington 108 101 -0.5271745 1.3921278
usajapan 116 108 0.8039586 2.3053507
vegetablesmeat 124 117 -1.5464687 2.0449200
yankeesdiamondbacks 103 88 -0.2250818 2.0725793


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=africanamericaneuropeanameri

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 124 0.27095 0.43382 33.59746 -1.00382 1.22670
expdiff 115 0.13913 2.02566 16.00000 -6.00000 8.00000
avgpersonD 114 1.42384 2.29111 162.31795 -3.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
124
0.29896
0.0012
115
0.11922
0.2064
114
expdiff
0.29896
0.0012
115
1.00000
 
115
0.03300
0.7274
114
avgpersonD
0.11922
0.2064
114
0.03300
0.7274
114
1.00000
 
114


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=approachingavoiding

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 79 0.83584 0.40135 66.03101 -0.71001 1.42987
expdiff 73 2.49315 3.24946 182.00000 -4.00000 8.00000
avgpersonD 71 1.13103 2.50022 80.30328 -4.41826 6.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
79
0.25133
0.0320
73
0.05519
0.6476
71
expdiff
0.25133
0.0320
73
1.00000
 
73
0.28828
0.0148
71
avgpersonD
0.05519
0.6476
71
0.28828
0.0148
71
1.00000
 
71


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=asianswhites

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 123 0.25734 0.40770 31.65230 -0.95651 1.24512
expdiff 114 0.62281 1.80653 71.00000 -3.00000 8.00000
avgpersonD 111 0.24840 1.99697 27.57274 -4.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
123
0.22078
0.0183
114
0.18486
0.0521
111
expdiff
0.22078
0.0183
114
1.00000
 
114
0.26294
0.0053
111
avgpersonD
0.18486
0.0521
111
0.26294
0.0053
111
1.00000
 
111


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=bookstelevision

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 124 0.08006 0.42336 9.92722 -0.93394 1.00870
expdiff 115 1.21739 2.73311 140.00000 -7.00000 8.00000
avgpersonD 114 -2.16388 1.85688 -246.68205 -7.41826 1.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
124
0.39134
<.0001
115
0.06139
0.5164
114
expdiff
0.39134
<.0001
115
1.00000
 
115
-0.08222
0.3845
114
avgpersonD
0.06139
0.5164
114
-0.08222
0.3845
114
1.00000
 
114


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=canadianamerican

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 114 0.27309 0.38192 31.13282 -0.70528 1.02451
expdiff 101 -0.14851 2.29515 -15.00000 -8.00000 6.00000
avgpersonD 103 -1.01050 2.20710 -104.08115 -6.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
114
0.32139
0.0010
101
0.12067
0.2247
103
expdiff
0.32139
0.0010
101
1.00000
 
101
0.23119
0.0200
101
avgpersonD
0.12067
0.2247
103
0.23119
0.0200
101
1.00000
 
103


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=capitalpunishmentimprisonmen

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 102 0.16077 0.37452 16.39867 -0.75559 0.96446
expdiff 92 1.35870 2.94111 125.00000 -6.00000 8.00000
avgpersonD 89 0.36825 1.87369 32.77454 -6.41826 4.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
102
0.25991
0.0123
92
0.07807
0.4671
89
expdiff
0.25991
0.0123
92
1.00000
 
92
0.08775
0.4162
88
avgpersonD
0.07807
0.4671
89
0.08775
0.4162
88
1.00000
 
89


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=catsdogs

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 135 0.16209 0.43598 21.88220 -1.10154 1.09848
expdiff 125 -0.69600 3.16285 -87.00000 -8.00000 7.00000
avgpersonD 124 -1.91826 1.78294 -237.86469 -8.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
135
0.44961
<.0001
125
-0.05943
0.5120
124
expdiff
0.44961
<.0001
125
1.00000
 
125
0.14003
0.1209
124
avgpersonD
-0.05943
0.5120
124
0.14003
0.1209
124
1.00000
 
124


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=classicalhiphop

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 134 0.31110 0.45420 41.68710 -0.98904 1.14025
expdiff 125 0.72800 3.48123 91.00000 -8.00000 8.00000
avgpersonD 125 -1.21026 2.29057 -151.28295 -6.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
134
0.54614
<.0001
125
0.01825
0.8399
125
expdiff
0.54614
<.0001
125
1.00000
 
125
0.15076
0.0933
125
avgpersonD
0.01825
0.8399
125
0.15076
0.0933
125
1.00000
 
125


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=coffeetea

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 108 0.11835 0.43869 12.78150 -0.85121 1.04645
expdiff 98 0.45918 3.06684 45.00000 -8.00000 8.00000
avgpersonD 99 -1.60008 1.76337 -158.40810 -6.41826 4.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
108
0.33711
0.0007
98
0.06583
0.5174
99
expdiff
0.33711
0.0007
98
1.00000
 
98
0.11999
0.2392
98
avgpersonD
0.06583
0.5174
99
0.11999
0.2392
98
1.00000
 
99


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=cokepepsi

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 103 0.09020 0.39083 9.29010 -0.64468 1.10202
expdiff 97 0.53608 2.72741 52.00000 -8.00000 7.00000
avgpersonD 97 -0.03682 1.49613 -3.57157 -8.41826 4.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
103
0.50409
<.0001
97
0.30217
0.0026
97
expdiff
0.50409
<.0001
97
1.00000
 
97
0.39865
<.0001
97
avgpersonD
0.30217
0.0026
97
0.39865
<.0001
97
1.00000
 
97


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=creationismevolution

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 99 0.08933 0.52021 8.84348 -0.92810 1.25537
expdiff 88 -2.75000 4.70815 -242.00000 -8.00000 8.00000
avgpersonD 88 -0.33872 3.31219 -29.80720 -8.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
99
0.67223
<.0001
88
0.11120
0.3023
88
expdiff
0.67223
<.0001
88
1.00000
 
88
0.28077
0.0088
86
avgpersonD
0.11120
0.3023
88
0.28077
0.0088
86
1.00000
 
88


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=defenseeducation

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 102 0.62383 0.38107 63.63021 -0.47500 1.63041
expdiff 92 2.76087 2.26473 254.00000 -2.00000 8.00000
avgpersonD 91 0.38393 1.88101 34.93801 -4.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
102
0.35061
0.0006
92
0.08249
0.4370
91
expdiff
0.35061
0.0006
92
1.00000
 
92
-0.00613
0.9542
90
avgpersonD
0.08249
0.4370
91
-0.00613
0.9542
90
1.00000
 
91


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=democratsrepublicans

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 94 0.25237 0.53504 23.72311 -1.18047 1.17377
expdiff 84 2.14286 4.13956 180.00000 -8.00000 8.00000
avgpersonD 82 -0.04021 1.53671 -3.29762 -3.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
94
0.73632
<.0001
84
0.01387
0.9016
82
expdiff
0.73632
<.0001
84
1.00000
 
84
0.06921
0.5367
82
avgpersonD
0.01387
0.9016
82
0.06921
0.5367
82
1.00000
 
82


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=drinkingabstaining

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 107 0.41914 0.48065 44.84807 -0.81988 1.51275
expdiff 99 1.32323 3.72479 131.00000 -8.00000 8.00000
avgpersonD 99 -1.70109 2.30368 -168.40810 -8.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
107
0.42479
<.0001
99
-0.02983
0.7694
99
expdiff
0.42479
<.0001
99
1.00000
 
99
0.07736
0.4466
99
avgpersonD
-0.02983
0.7694
99
0.07736
0.4466
99
1.00000
 
99


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=exercisingrelaxing

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 104 0.02393 0.55038 2.48829 -1.15294 1.44504
expdiff 96 1.39583 2.59343 134.00000 -4.00000 8.00000
avgpersonD 95 2.02384 2.01439 192.26496 -4.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
104
0.37312
0.0002
96
-0.07174
0.4896
95
expdiff
0.37312
0.0002
96
1.00000
 
96
-0.04309
0.6784
95
avgpersonD
-0.07174
0.4896
95
-0.04309
0.6784
95
1.00000
 
95


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=familycareer

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 102 0.55858 0.31922 56.97565 -0.18801 1.35399
expdiff 96 1.08333 2.10596 104.00000 -5.00000 7.00000
avgpersonD 95 0.36068 2.15949 34.26496 -6.41826 4.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
102
0.20799
0.0420
96
0.10334
0.3190
95
expdiff
0.20799
0.0420
96
1.00000
 
96
0.01597
0.8779
95
avgpersonD
0.10334
0.3190
95
0.01597
0.8779
95
1.00000
 
95


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=feminismtraditionalvalues

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 103 0.16733 0.47962 17.23487 -0.97580 1.11513
expdiff 92 0.19565 2.88703 18.00000 -8.00000 7.00000
avgpersonD 91 -1.81387 1.98818 -165.06199 -8.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
103
0.56160
<.0001
92
-0.15045
0.1546
91
expdiff
0.56160
<.0001
92
1.00000
 
92
-0.17396
0.1030
89
avgpersonD
-0.15045
0.1546
91
-0.17396
0.1030
89
1.00000
 
91


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=flexiblestable

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 91 0.03260 0.48076 2.96679 -1.03917 1.08605
expdiff 85 0.35294 2.09708 30.00000 -5.00000 7.00000
avgpersonD 86 -1.34850 2.24809 -115.97067 -7.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
91
0.20900
0.0549
85
0.07393
0.4987
86
expdiff
0.20900
0.0549
85
1.00000
 
85
0.13126
0.2311
85
avgpersonD
0.07393
0.4987
86
0.13126
0.2311
85
1.00000
 
86


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=foreignplacesamericanplaces

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 99 0.36651 0.44461 36.28477 -0.76678 1.25713
expdiff 97 0.31959 2.44756 31.00000 -6.00000 8.00000
avgpersonD 96 0.82132 2.70961 78.84669 -6.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
99
0.53375
<.0001
97
0.24714
0.0152
96
expdiff
0.53375
<.0001
97
1.00000
 
97
0.41304
<.0001
96
avgpersonD
0.24714
0.0152
96
0.41304
<.0001
96
1.00000
 
96


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=freedomsecurity

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 103 0.31206 0.40140 32.14263 -0.64463 1.21277
expdiff 89 1.11236 1.70186 99.00000 -2.00000 7.00000
avgpersonD 86 0.44220 2.08729 38.02933 -6.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
103
0.14986
0.1610
89
0.05762
0.5982
86
expdiff
0.14986
0.1610
89
1.00000
 
89
0.09778
0.3704
86
avgpersonD
0.05762
0.5982
86
0.09778
0.3704
86
1.00000
 
86


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=futurepast

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 136 0.62650 0.33242 85.20361 -0.47563 1.32185
expdiff 124 1.21774 2.49735 151.00000 -4.00000 8.00000
avgpersonD 122 0.31944 1.97423 38.97184 -8.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
136
0.02118
0.8154
124
0.07146
0.4341
122
expdiff
0.02118
0.8154
124
1.00000
 
124
0.36640
<.0001
122
avgpersonD
0.07146
0.4341
122
0.36640
<.0001
122
1.00000
 
122


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=gaypeoplestraightpeople

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 116 0.36328 0.39195 42.14105 -0.85539 1.09692
expdiff 110 1.45455 2.63232 160.00000 -4.00000 8.00000
avgpersonD 109 3.35238 2.32392 365.40927 -2.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
116
0.34781
0.0002
110
0.10115
0.2953
109
expdiff
0.34781
0.0002
110
1.00000
 
110
0.17235
0.0745
108
avgpersonD
0.10115
0.2953
109
0.17235
0.0745
108
1.00000
 
109


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=gorebush

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 108 0.11222 0.52795 12.11950 -0.90163 1.11763
expdiff 96 1.69792 4.26521 163.00000 -8.00000 8.00000
avgpersonD 95 0.11858 2.40040 11.26496 -6.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
108
0.74279
<.0001
96
0.42182
<.0001
95
expdiff
0.74279
<.0001
96
1.00000
 
96
0.51163
<.0001
94
avgpersonD
0.42182
<.0001
95
0.51163
<.0001
94
1.00000
 
95


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=gunrightsguncontrol

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 74 0.08485 0.45975 6.27921 -1.06985 1.19534
expdiff 70 2.92857 4.11896 205.00000 -8.00000 8.00000
avgpersonD 70 0.25316 2.11085 17.72155 -4.41826 6.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
74
0.63686
<.0001
70
0.15825
0.1907
70
expdiff
0.63686
<.0001
70
1.00000
 
70
-0.00107
0.9930
70
avgpersonD
0.15825
0.1907
70
-0.00107
0.9930
70
1.00000
 
70


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=hotcold

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 95 0.13266 0.60261 12.60303 -1.07996 1.61445
expdiff 82 -1.14634 3.06361 -94.00000 -8.00000 8.00000
avgpersonD 85 -1.66532 2.24619 -141.55241 -7.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
95
0.07621
0.4962
82
0.14098
0.1981
85
expdiff
0.07621
0.4962
82
1.00000
 
82
-0.07647
0.5002
80
avgpersonD
0.14098
0.1981
85
-0.07647
0.5002
80
1.00000
 
85


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=jaylenodavidletterman

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 80 0.07141 0.37488 5.71304 -0.72538 1.13488
expdiff 76 0.44737 2.82557 34.00000 -8.00000 7.00000
avgpersonD 76 -0.66826 1.58430 -50.78803 -8.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
80
0.45026
<.0001
76
0.00700
0.9522
76
expdiff
0.45026
<.0001
76
1.00000
 
76
0.35593
0.0016
76
avgpersonD
0.00700
0.9522
76
0.35593
0.0016
76
1.00000
 
76


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=jazzteenpop

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 111 0.14282 0.47789 15.85267 -1.06766 1.19195
expdiff 105 -1.21905 2.79416 -128.00000 -7.00000 7.00000
avgpersonD 105 -0.72303 2.13993 -75.91768 -6.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
111
0.68802
<.0001
105
0.22581
0.0206
105
expdiff
0.68802
<.0001
105
1.00000
 
105
0.16723
0.0882
105
avgpersonD
0.22581
0.0206
105
0.16723
0.0882
105
1.00000
 
105


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=jewchristian

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 130 0.35298 0.43614 45.88774 -0.90201 1.20416
expdiff 125 -0.20000 1.81392 -25.00000 -7.00000 4.00000
avgpersonD 124 0.85593 1.90992 106.13531 -5.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
130
0.36381
<.0001
125
-0.21559
0.0162
124
expdiff
0.36381
<.0001
125
1.00000
 
125
-0.10680
0.2397
123
avgpersonD
-0.21559
0.0162
124
-0.10680
0.2397
123
1.00000
 
124


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=jewsmuslims

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 120 0.30584 0.36585 36.70027 -0.86758 1.45245
expdiff 114 0.67544 1.73203 77.00000 -5.00000 7.00000
avgpersonD 114 0.73086 1.82040 83.31795 -4.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
120
0.27107
0.0035
114
0.12713
0.1777
114
expdiff
0.27107
0.0035
114
1.00000
 
114
0.23160
0.0132
114
avgpersonD
0.12713
0.1777
114
0.23160
0.0132
114
1.00000
 
114


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=jocksnerds

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 134 0.11328 0.43623 15.17905 -1.06172 1.01331
expdiff 125 0.64800 2.69185 81.00000 -8.00000 6.00000
avgpersonD 125 -2.41026 2.45769 -301.28295 -8.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
134
0.38341
<.0001
125
0.23831
0.0074
125
expdiff
0.38341
<.0001
125
1.00000
 
125
0.23034
0.0101
124
avgpersonD
0.23831
0.0074
125
0.23034
0.0101
124
1.00000
 
125


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=juliarobertsmegryan

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 119 -0.00873 0.40573 -1.03895 -1.27948 0.81704
expdiff 110 0.47273 1.74897 52.00000 -3.00000 8.00000
avgpersonD 108 -0.17752 1.68484 -19.17247 -6.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
119
0.34291
0.0002
110
0.29877
0.0017
108
expdiff
0.34291
0.0002
110
1.00000
 
110
0.37837
<.0001
108
avgpersonD
0.29877
0.0017
108
0.37837
<.0001
108
1.00000
 
108


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=labormanagement

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 97 0.02597 0.42045 2.51955 -1.15596 1.03112
expdiff 84 -0.58333 2.68062 -49.00000 -8.00000 6.00000
avgpersonD 82 -1.24753 2.29226 -102.29762 -8.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
97
0.24261
0.0262
84
-0.11169
0.3178
82
expdiff
0.24261
0.0262
84
1.00000
 
84
0.11316
0.3114
82
avgpersonD
-0.11169
0.3178
82
0.11316
0.3114
82
1.00000
 
82


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=leadershelpers

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 110 0.03045 0.48172 3.34954 -1.18843 0.97669
expdiff 100 -1.24000 1.97520 -124.00000 -8.00000 3.00000
avgpersonD 101 -1.19054 2.34043 -120.24462 -6.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
110
0.41202
<.0001
100
0.14191
0.1569
101
expdiff
0.41202
<.0001
100
1.00000
 
100
0.10971
0.2797
99
avgpersonD
0.14191
0.1569
101
0.10971
0.2797
99
1.00000
 
101


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=lettersnumbers

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 124 0.36569 0.39413 45.34510 -0.73306 1.38632
expdiff 110 0.90000 2.04961 99.00000 -4.00000 7.00000
avgpersonD 109 0.21476 1.39881 23.40927 -3.41826 4.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
124
0.04531
0.6384
110
0.13227
0.1704
109
expdiff
0.04531
0.6384
110
1.00000
 
110
0.16931
0.0784
109
avgpersonD
0.13227
0.1704
109
0.16931
0.0784
109
1.00000
 
109


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=liberalsconservatives

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 93 0.31936 0.55543 29.70079 -1.04182 1.27792
expdiff 85 1.88235 4.20434 160.00000 -8.00000 8.00000
avgpersonD 85 -0.48885 2.53916 -41.55241 -6.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
93
0.66321
<.0001
85
-0.09200
0.4023
85
expdiff
0.66321
<.0001
85
1.00000
 
85
-0.13127
0.2340
84
avgpersonD
-0.09200
0.4023
85
-0.13127
0.2340
84
1.00000
 
85


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=malesfemales

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 124 0.43679 0.42768 54.16231 -0.71884 1.24326
expdiff 112 0.14286 1.96298 16.00000 -7.00000 4.00000
avgpersonD 112 -0.06112 1.84955 -6.84552 -4.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
124
0.03174
0.7398
112
-0.09977
0.2953
112
expdiff
0.03174
0.7398
112
1.00000
 
112
0.00181
0.9849
111
avgpersonD
-0.09977
0.2953
112
0.00181
0.9849
111
1.00000
 
112


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=marriedsingle

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 122 0.29419 0.49715 35.89061 -0.94254 1.34140
expdiff 113 1.46903 2.80010 166.00000 -8.00000 8.00000
avgpersonD 114 1.89753 2.29781 216.31795 -4.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
122
0.30302
0.0011
113
-0.05338
0.5727
114
expdiff
0.30302
0.0011
113
1.00000
 
113
0.03746
0.6936
113
avgpersonD
-0.05338
0.5727
114
0.03746
0.6936
113
1.00000
 
114


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=mcdonaldsburgerking

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 138 0.25526 0.37936 35.22579 -0.59568 1.12645
expdiff 130 0.06923 2.35325 9.00000 -7.00000 8.00000
avgpersonD 131 0.24586 1.36219 32.20747 -2.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
138
0.22091
0.0115
130
0.07654
0.3849
131
expdiff
0.22091
0.0115
130
1.00000
 
130
0.30496
0.0004
129
avgpersonD
0.07654
0.3849
131
0.30496
0.0004
129
1.00000
 
131


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=microsoftapple

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 92 0.04652 0.42324 4.27991 -0.89641 0.85968
expdiff 81 0.35802 3.15558 29.00000 -8.00000 8.00000
avgpersonD 82 0.00857 2.52411 0.70238 -6.41826 6.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
92
0.36950
0.0007
81
0.09613
0.3903
82
expdiff
0.36950
0.0007
81
1.00000
 
81
0.42971
<.0001
81
avgpersonD
0.09613
0.3903
82
0.42971
<.0001
81
1.00000
 
82


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=newyorkcalifornia

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 104 0.20388 0.44087 21.20385 -1.08313 1.08707
expdiff 95 0.30526 2.48431 29.00000 -8.00000 7.00000
avgpersonD 95 0.24489 2.21028 23.26496 -8.41826 6.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
104
0.28443
0.0052
95
0.12893
0.2130
95
expdiff
0.28443
0.0052
95
1.00000
 
95
0.20685
0.0443
95
avgpersonD
0.12893
0.2130
95
0.20685
0.0443
95
1.00000
 
95


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=northernerssoutherners

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 116 0.16352 0.52388 18.96793 -1.08344 1.22747
expdiff 107 0.40187 2.25229 43.00000 -8.00000 8.00000
avgpersonD 108 -0.02937 1.72845 -3.17247 -5.41826 4.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
116
0.40942
<.0001
107
0.24512
0.0106
108
expdiff
0.40942
<.0001
107
1.00000
 
107
0.38148
<.0001
107
avgpersonD
0.24512
0.0106
108
0.38148
<.0001
107
1.00000
 
108


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=oldpeopleyoungpeople

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 100 0.40804 0.34644 40.80378 -0.45326 1.04296
expdiff 91 0.42857 1.93874 39.00000 -5.00000 7.00000
avgpersonD 91 -0.56112 2.10593 -51.06199 -6.41826 6.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
100
0.16843
0.1105
91
0.08759
0.4090
91
expdiff
0.16843
0.1105
91
1.00000
 
91
0.41249
<.0001
91
avgpersonD
0.08759
0.4090
91
0.41249
<.0001
91
1.00000
 
91


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=pantsskirts

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 106 0.29558 0.39387 31.33169 -0.80461 1.06766
expdiff 97 -0.71134 2.16487 -69.00000 -8.00000 4.00000
avgpersonD 97 -0.79971 1.86214 -77.57157 -8.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
106
-0.07805
0.4473
97
-0.18349
0.0720
97
expdiff
-0.07805
0.4473
97
1.00000
 
97
0.40964
<.0001
96
avgpersonD
-0.18349
0.0720
97
0.40964
<.0001
96
1.00000
 
97


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=prochoiceprolife

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 100 0.03078 0.51858 3.07820 -1.12433 1.18597
expdiff 90 0.96667 5.06686 87.00000 -8.00000 8.00000
avgpersonD 89 -0.98006 2.58912 -87.22546 -8.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
100
0.64630
<.0001
90
0.24831
0.0190
89
expdiff
0.64630
<.0001
90
1.00000
 
90
0.32423
0.0019
89
avgpersonD
0.24831
0.0190
89
0.32423
0.0019
89
1.00000
 
89


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=publicprivate

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 78 0.31646 0.49255 24.68394 -1.18108 1.19625
expdiff 71 -1.23944 1.96006 -88.00000 -7.00000 4.00000
avgpersonD 71 -0.82671 1.60870 -58.69672 -5.41826 2.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
78
0.34552
0.0032
71
0.19603
0.1013
71
expdiff
0.34552
0.0032
71
1.00000
 
71
0.09087
0.4511
71
avgpersonD
0.19603
0.1013
71
0.09087
0.4511
71
1.00000
 
71


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=reasonemotions

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 92 0.30559 0.41946 28.11446 -0.69834 1.50110
expdiff 85 -0.09412 2.05649 -8.00000 -6.00000 4.00000
avgpersonD 85 -0.20650 2.37093 -17.55241 -8.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
92
0.15896
0.1462
85
0.07480
0.4963
85
expdiff
0.15896
0.1462
85
1.00000
 
85
-0.24003
0.0269
85
avgpersonD
0.07480
0.4963
85
-0.24003
0.0269
85
1.00000
 
85


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=rebelliousconforming

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 106 0.42091 0.49512 44.61606 -0.74894 1.38124
expdiff 94 -0.58511 3.53602 -55.00000 -8.00000 8.00000
avgpersonD 94 2.47535 2.81115 232.68322 -4.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
106
0.47206
<.0001
94
0.02952
0.7776
94
expdiff
0.47206
<.0001
94
1.00000
 
94
-0.18248
0.0800
93
avgpersonD
0.02952
0.7776
94
-0.18248
0.0800
93
1.00000
 
94


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=religionatheism

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 118 0.46959 0.46846 55.41150 -0.90051 1.23657
expdiff 103 0.74757 4.54330 77.00000 -8.00000 8.00000
avgpersonD 101 2.33421 2.55502 235.75538 -4.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
118
0.58593
<.0001
103
-0.14607
0.1450
101
expdiff
0.58593
<.0001
103
1.00000
 
103
-0.15187
0.1295
101
avgpersonD
-0.14607
0.1450
101
-0.15187
0.1295
101
1.00000
 
101


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=richpeoplepoorpeople

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 122 0.80456 0.33729 98.15654 -0.11092 1.52960
expdiff 111 -0.57658 2.15554 -64.00000 -6.00000 6.00000
avgpersonD 111 1.29345 3.04030 143.57274 -8.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
122
0.13475
0.1585
111
0.03162
0.7418
111
expdiff
0.13475
0.1585
111
1.00000
 
111
-0.01450
0.8800
111
avgpersonD
0.03162
0.7418
111
-0.01450
0.8800
111
1.00000
 
111


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=simpledifficult

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 107 0.71181 0.45431 76.16383 -0.91621 1.54701
expdiff 99 1.19192 2.90909 118.00000 -5.00000 8.00000
avgpersonD 97 2.39617 2.41234 232.42843 -3.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
107
0.30150
0.0024
99
0.10877
0.2889
97
expdiff
0.30150
0.0024
99
1.00000
 
99
0.21051
0.0385
97
avgpersonD
0.10877
0.2889
97
0.21051
0.0385
97
1.00000
 
97


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=summerwinter

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 108 0.47458 0.50161 51.25487 -1.19475 1.26646
expdiff 100 1.82000 3.40344 182.00000 -7.00000 8.00000
avgpersonD 99 2.91507 2.41593 288.59190 -4.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
108
0.48208
<.0001
100
0.13987
0.1673
99
expdiff
0.48208
<.0001
100
1.00000
 
100
0.24194
0.0158
99
avgpersonD
0.13987
0.1673
99
0.24194
0.0158
99
1.00000
 
99


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=tallpeopleshortpeople

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 115 0.01870 0.51579 2.15084 -1.00646 1.10216
expdiff 102 -0.06863 1.32948 -7.00000 -5.00000 4.00000
avgpersonD 102 -1.47709 1.59717 -150.66289 -5.41826 3.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
115
0.15252
0.1259
102
0.07104
0.4780
102
expdiff
0.15252
0.1259
102
1.00000
 
102
-0.05331
0.5984
100
avgpersonD
0.07104
0.4780
102
-0.05331
0.5984
100
1.00000
 
102


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=taxreductionssocialprograms

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 97 0.30893 0.38734 29.96663 -0.79006 1.08908
expdiff 91 0.81319 3.25546 74.00000 -7.00000 8.00000
avgpersonD 92 -1.61392 2.07147 -148.48025 -8.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
97
0.42351
<.0001
91
-0.13347
0.2047
92
expdiff
0.42351
<.0001
91
1.00000
 
91
-0.06261
0.5555
91
avgpersonD
-0.13347
0.2047
92
-0.06261
0.5555
91
1.00000
 
92


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=thinpeoplefatpeople

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 122 0.34915 0.42280 42.59665 -0.85329 1.23469
expdiff 116 0.93103 2.03331 108.00000 -8.00000 6.00000
avgpersonD 114 2.91507 2.50192 332.31795 -3.41826 7.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
122
0.25970
0.0049
116
0.11176
0.2365
114
expdiff
0.25970
0.0049
116
1.00000
 
116
0.20974
0.0251
114
avgpersonD
0.11176
0.2365
114
0.20974
0.0251
114
1.00000
 
114


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=tomcruisedenzelwashington

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 108 0.15004 0.32835 16.20402 -0.50752 0.93348
expdiff 101 -1.04950 1.67557 -106.00000 -5.00000 2.00000
avgpersonD 101 -0.52717 1.39213 -53.24462 -5.41826 2.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
108
0.20784
0.0370
101
-0.04354
0.6655
101
expdiff
0.20784
0.0370
101
1.00000
 
101
0.31919
0.0011
101
avgpersonD
-0.04354
0.6655
101
0.31919
0.0011
101
1.00000
 
101


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=usajapan

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 116 0.42720 0.33646 49.55518 -0.69818 1.10929
expdiff 105 1.03810 2.47263 109.00000 -4.00000 8.00000
avgpersonD 108 0.80396 2.30535 86.82753 -5.41826 6.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
116
0.27593
0.0044
105
0.19069
0.0481
108
expdiff
0.27593
0.0044
105
1.00000
 
105
0.46946
<.0001
105
avgpersonD
0.19069
0.0481
108
0.46946
<.0001
105
1.00000
 
108


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=vegetablesmeat

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 124 0.39240 0.40724 48.65798 -0.95668 1.18325
expdiff 117 1.18803 3.19464 139.00000 -6.00000 8.00000
avgpersonD 117 -1.54647 2.04492 -180.93684 -6.41826 2.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
124
0.42697
<.0001
117
-0.06314
0.4988
117
expdiff
0.42697
<.0001
117
1.00000
 
117
-0.08462
0.3665
116
avgpersonD
-0.06314
0.4988
117
-0.08462
0.3665
116
1.00000
 
117


DATA = Study 6 - 58 Topics

The CORR Procedure

STDYNAME=yankeesdiamondbacks

3 Variables: IAT expdiff avgpersonD

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 103 0.17845 0.37873 18.38070 -0.93496 0.94368
expdiff 89 0.07865 2.34145 7.00000 -5.00000 8.00000
avgpersonD 88 -0.22508 2.07258 -19.80720 -6.41826 5.58174

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT expdiff avgpersonD
IAT
1.00000
 
103
0.37198
0.0003
89
0.16723
0.1194
88
expdiff
0.37198
0.0003
89
1.00000
 
89
0.21584
0.0434
88
avgpersonD
0.16723
0.1194
88
0.21584
0.0434
88
1.00000
 
88


DATA = Study 6 - 58 Topics

The MEANS Procedure

Analysis Variable : IAT
N Mean Std Dev Minimum Maximum
5769 0.2773195 0.4762717 -1.1947488 1.6304098


DATA = Study 6 - 58 Topics

The Mixed Procedure

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 7754.23073843  
1 2 6941.89012347 0.00000141
2 1 6941.88757203 0.00000000

Convergence criteria met.

Covariance Parameter Estimates
Cov Parm Subject Estimate Standard Error Z Value Pr Z Ord Z
Intercept STDYNAME 0.03771 0.007448 5.06 <.0001 0.0001
Residual   0.1907 0.003581 53.24 <.0001 0.0000

Fit Statistics
-2 Res Log Likelihood 6941.9
AIC (smaller is better) 6945.9
AICC (smaller is better) 6945.9
BIC (smaller is better) 6950.0

Solution for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t| Ord t Alpha Lower Upper
Intercept 0.2732 0.02616 57 10.44 <.0001 0.0000 0.05 0.2208 0.3256


DATA = Study 6 - 58 Topics

The Mixed Procedure

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 7613.80084499  
1 2 6916.25267906 0.00001679
2 1 6916.22117552 0.00000007
3 1 6916.22105461 0.00000000

Convergence criteria met.

Covariance Parameter Estimates
Cov Parm Subject Estimate Standard Error Z Value Pr Z Ord Z
Intercept STDYNAME 0.03406 0.006787 5.02 <.0001 0.0002
Residual   0.1897 0.003563 53.24 <.0001 0.0000

Fit Statistics
-2 Res Log Likelihood 6916.2
AIC (smaller is better) 6920.2
AICC (smaller is better) 6920.2
BIC (smaller is better) 6924.3

Solution for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t| Ord t Alpha Lower Upper
Intercept 0.2732 0.02492 57 10.96 <.0001 0.0000 0.05 0.2233 0.3231
avgpersonD 0.01593 0.002654 5669 6.00 <.0001 0.0000 0.05 0.01073 0.02114

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F Ord F
avgpersonD 1 5669 36.04 <.0001 0.0000


DATA = Study 6 - 58 Topics

The Mixed Procedure

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 7613.80084499  
1 2 6908.23511383 0.00129311
2 1 6905.39376491 0.00024945
3 1 6904.88373492 0.00001343
4 1 6904.85852364 0.00000005
5 1 6904.85843742 0.00000000

Convergence criteria met.

Covariance Parameter Estimates
Cov Parm Subject Estimate Standard Error Z Value Pr Z Ord Z
Intercept STDYNAME 0.03375 0.006768 4.99 <.0001 0.0002
avgpersonD STDYNAME 0.000322 0.000142 2.28 0.0114 210.63
Residual   0.1882 0.003554 52.97 <.0001 0.0000

Fit Statistics
-2 Res Log Likelihood 6904.9
AIC (smaller is better) 6910.9
AICC (smaller is better) 6910.9
BIC (smaller is better) 6917.0

Solution for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t| Ord t Alpha Lower Upper
Intercept 0.2733 0.02491 57 10.97 <.0001 0.0000 0.05 0.2235 0.3232
avgpersonD 0.01607 0.003606 57 4.46 <.0001 0.0001 0.05 0.008845 0.02329

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F Ord F
avgpersonD 1 57 19.85 <.0001 0.0000


DATA = Study 6 - 58 Topics

The Mixed Procedure

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 6844.34902415  
1 2 6028.94463927 0.00007047
2 1 6028.77330427 0.00000140
3 1 6028.77011682 0.00000000

Convergence criteria met.

Covariance Parameter Estimates
Cov Parm Subject Estimate Standard Error Z Value Pr Z Ord Z
Intercept STDYNAME 0.03311 0.006566 5.04 <.0001 0.0002
avgpersonD STDYNAME 0.000089 0.000088 1.00 0.1577 2733.9
Residual   0.1616 0.003052 52.96 <.0001 0.0000

Fit Statistics
-2 Res Log Likelihood 6028.8
AIC (smaller is better) 6034.8
AICC (smaller is better) 6034.8
BIC (smaller is better) 6041.0

Solution for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t| Ord t Alpha Lower Upper
Intercept 0.2419 0.02455 57 9.85 <.0001 0.0000 0.05 0.1927 0.2910
avgpersonD 0.005069 0.002800 57 1.81 0.0755 0.0785 0.05 -0.00054 0.01068
expdiff 0.05951 0.001917 5611 31.05 <.0001 0.0000 0.05 0.05575 0.06327

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F Ord F
avgpersonD 1 57 3.28 0.0755 0.0434
expdiff 1 5611 963.96 <.0001 0.0000


DATA = Study 6 - 58 Topics

The Mixed Procedure

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 6844.34902415  
1 2 5995.35186766 0.00239545
2 1 5988.52782747 0.00076320
3 2 5986.45323029 0.00011834
4 1 5986.15646268 0.00000393
5 1 5986.14733353 0.00000001

Convergence criteria met.

Covariance Parameter Estimates
Cov Parm Subject Estimate Standard Error Z Value Pr Z Ord Z
Intercept STDYNAME 0.03598 0.007148 5.03 <.0001 0.0002
expdiff STDYNAME 0.000409 0.000124 3.30 0.0005 14.099
avgpersonD STDYNAME 0.000016 0.000070 0.23 0.4105 5566.1
Residual   0.1589 0.003013 52.74 <.0001 0.0000

Fit Statistics
-2 Res Log Likelihood 5986.1
AIC (smaller is better) 5994.1
AICC (smaller is better) 5994.2
BIC (smaller is better) 6002.4

Solution for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t| Ord t Alpha Lower Upper
Intercept 0.2432 0.02555 57 9.52 <.0001 0.0000 0.05 0.1921 0.2944
avgpersonD 0.005420 0.002551 57 2.12 0.0380 0.0436 0.05 0.000311 0.01053
expdiff 0.05641 0.003381 57 16.68 <.0001 0.0000 0.05 0.04963 0.06318

Solution for Random Effects
Effect STDYNAME Estimate Std Err Pred DF t Value Pr > |t| Ord t Alpha Lower Upper
Intercept africanamericaneuropeanameri -0.00971 0.04459 5554 -0.22 0.8276 0.3896 0.05 -0.09712 0.07770
expdiff africanamericaneuropeanameri 0.003584 0.01375 5554 0.26 0.7944 0.3856 0.05 -0.02338 0.03055
avgpersonD africanamericaneuropeanameri 0.000850 0.003865 5554 0.22 0.8260 0.3894 0.05 -0.00673 0.008426
Intercept approachingavoiding 0.4784 0.05870 5554 8.15 <.0001 0.0000 0.05 0.3633 0.5934
expdiff approachingavoiding -0.01494 0.01193 5554 -1.25 0.2105 0.1821 0.05 -0.03833 0.008448
avgpersonD approachingavoiding -0.00032 0.003897 5554 -0.08 0.9354 0.3976 0.05 -0.00796 0.007324
Intercept asianswhites -0.01615 0.04530 5554 -0.36 0.7215 0.3744 0.05 -0.1050 0.07267
expdiff asianswhites -0.00192 0.01471 5554 -0.13 0.8964 0.3956 0.05 -0.03076 0.02693
avgpersonD asianswhites 0.000791 0.003896 5554 0.20 0.8391 0.3908 0.05 -0.00685 0.008428
Intercept bookstelevision -0.2265 0.04692 5554 -4.83 <.0001 0.0000 0.05 -0.3184 -0.1345
expdiff bookstelevision 0.002467 0.01153 5554 0.21 0.8307 0.3899 0.05 -0.02014 0.02508
avgpersonD bookstelevision 0.000799 0.003899 5554 0.20 0.8377 0.3906 0.05 -0.00684 0.008442
Intercept canadianamerican 0.07123 0.04613 5554 1.54 0.1226 0.1211 0.05 -0.01920 0.1617
expdiff canadianamerican -0.00464 0.01333 5554 -0.35 0.7280 0.3755 0.05 -0.03077 0.02149
avgpersonD canadianamerican 0.000055 0.003885 5554 0.01 0.9888 0.3989 0.05 -0.00756 0.007670
Intercept capitalpunishmentimprisonmen -0.1429 0.05079 5554 -2.81 0.0049 0.0077 0.05 -0.2425 -0.04330
expdiff capitalpunishmentimprisonmen -0.01662 0.01245 5554 -1.33 0.1821 0.1637 0.05 -0.04103 0.007791
avgpersonD capitalpunishmentimprisonmen 0.000154 0.003917 5554 0.04 0.9687 0.3986 0.05 -0.00753 0.007833
Intercept catsdogs -0.04065 0.04423 5554 -0.92 0.3581 0.2615 0.05 -0.1274 0.04605
expdiff catsdogs 0.003997 0.01020 5554 0.39 0.6953 0.3695 0.05 -0.01601 0.02400
avgpersonD catsdogs -0.00128 0.003900 5554 -0.33 0.7429 0.3780 0.05 -0.00893 0.006366
Intercept classicalhiphop 0.03221 0.04366 5554 0.74 0.4607 0.3039 0.05 -0.05338 0.1178
expdiff classicalhiphop 0.01057 0.009549 5554 1.11 0.2683 0.2161 0.05 -0.00815 0.02929
avgpersonD classicalhiphop -0.00106 0.003857 5554 -0.28 0.7831 0.3841 0.05 -0.00862 0.006499
Intercept coffeetea -0.1405 0.04713 5554 -2.98 0.0029 0.0047 0.05 -0.2329 -0.04815
expdiff coffeetea -0.00536 0.01130 5554 -0.47 0.6355 0.3565 0.05 -0.02751 0.01680
avgpersonD coffeetea 0.000114 0.003916 5554 0.03 0.9768 0.3988 0.05 -0.00756 0.007791
Intercept cokepepsi -0.1773 0.04691 5554 -3.78 0.0002 0.0003 0.05 -0.2692 -0.08531
expdiff cokepepsi 0.007851 0.01221 5554 0.64 0.5202 0.3244 0.05 -0.01609 0.03179
avgpersonD cokepepsi 0.000522 0.003938 5554 0.13 0.8945 0.3954 0.05 -0.00720 0.008243
Intercept creationismevolution 0.04295 0.05277 5554 0.81 0.4158 0.2864 0.05 -0.06050 0.1464
expdiff creationismevolution 0.01312 0.008736 5554 1.50 0.1333 0.1292 0.05 -0.00401 0.03024
avgpersonD creationismevolution -0.00148 0.003817 5554 -0.39 0.6989 0.3702 0.05 -0.00896 0.006007
Intercept defenseeducation 0.1983 0.05892 5554 3.37 0.0008 0.0014 0.05 0.08281 0.3138
expdiff defenseeducation 0.004366 0.01356 5554 0.32 0.7476 0.3788 0.05 -0.02222 0.03096
avgpersonD defenseeducation 0.000359 0.003916 5554 0.09 0.9269 0.3973 0.05 -0.00732 0.008036
Intercept democratsrepublicans -0.1894 0.05305 5554 -3.57 0.0004 0.0007 0.05 -0.2934 -0.08539
expdiff democratsrepublicans 0.02925 0.009858 5554 2.97 0.0030 0.0049 0.05 0.009926 0.04858
avgpersonD democratsrepublicans -0.00030 0.003939 5554 -0.08 0.9389 0.3978 0.05 -0.00802 0.007420
Intercept drinkingabstaining 0.09934 0.04828 5554 2.06 0.0397 0.0481 0.05 0.004690 0.1940
expdiff drinkingabstaining -0.00282 0.009872 5554 -0.29 0.7753 0.3830 0.05 -0.02217 0.01653
avgpersonD drinkingabstaining -0.00096 0.003877 5554 -0.25 0.8044 0.3869 0.05 -0.00856 0.006640
Intercept exercisingrelaxing -0.2936 0.05043 5554 -5.82 <.0001 0.0000 0.05 -0.3924 -0.1947
expdiff exercisingrelaxing 0.01263 0.01258 5554 1.00 0.3152 0.2409 0.05 -0.01202 0.03729
avgpersonD exercisingrelaxing -0.00104 0.003900 5554 -0.27 0.7903 0.3851 0.05 -0.00868 0.006609
Intercept familycareer 0.2538 0.04885 5554 5.20 <.0001 0.0000 0.05 0.1581 0.3496
expdiff familycareer -0.01481 0.01429 5554 -1.04 0.2999 0.2331 0.05 -0.04283 0.01320
avgpersonD familycareer 0.000420 0.003893 5554 0.11 0.9140 0.3966 0.05 -0.00721 0.008053
Intercept feminismtraditionalvalues -0.08903 0.04855 5554 -1.83 0.0668 0.0743 0.05 -0.1842 0.006151
expdiff feminismtraditionalvalues 0.02720 0.01200 5554 2.27 0.0234 0.0306 0.05 0.003680 0.05073
avgpersonD feminismtraditionalvalues -0.00049 0.003909 5554 -0.13 0.8993 0.3957 0.05 -0.00816 0.007168
Intercept flexiblestable -0.2156 0.04924 5554 -4.38 <.0001 0.0000 0.05 -0.3121 -0.1191
expdiff flexiblestable -0.00428 0.01457 5554 -0.29 0.7688 0.3820 0.05 -0.03285 0.02428
avgpersonD flexiblestable 0.000305 0.003894 5554 0.08 0.9376 0.3977 0.05 -0.00733 0.007939
Intercept foreignplacesamericanplaces 0.08924 0.04695 5554 1.90 0.0574 0.0655 0.05 -0.00279 0.1813
expdiff foreignplacesamericanplaces 0.02299 0.01305 5554 1.76 0.0781 0.0845 0.05 -0.00259 0.04857
avgpersonD foreignplacesamericanplaces 0.000402 0.003860 5554 0.10 0.9171 0.3968 0.05 -0.00716 0.007969
Intercept freedomsecurity 0.000811 0.05137 5554 0.02 0.9874 0.3989 0.05 -0.09989 0.1015
expdiff freedomsecurity -0.00712 0.01576 5554 -0.45 0.6514 0.3602 0.05 -0.03801 0.02377
avgpersonD freedomsecurity 0.000029 0.003906 5554 0.01 0.9941 0.3989 0.05 -0.00763 0.007685
Intercept futurepast 0.3512 0.04536 5554 7.74 <.0001 0.0000 0.05 0.2623 0.4402
expdiff futurepast -0.03774 0.01198 5554 -3.15 0.0016 0.0028 0.05 -0.06123 -0.01425
avgpersonD futurepast -0.00006 0.003895 5554 -0.02 0.9869 0.3989 0.05 -0.00770 0.007572
Intercept gaypeoplestraightpeople 0.03020 0.04960 5554 0.61 0.5426 0.3314 0.05 -0.06703 0.1274
expdiff gaypeoplestraightpeople -0.00319 0.01200 5554 -0.27 0.7902 0.3850 0.05 -0.02671 0.02032
avgpersonD gaypeoplestraightpeople 0.000110 0.003862 5554 0.03 0.9773 0.3988 0.05 -0.00746 0.007681
Intercept gorebush -0.2398 0.04897 5554 -4.90 <.0001 0.0000 0.05 -0.3358 -0.1438
expdiff gorebush 0.02664 0.009143 5554 2.91 0.0036 0.0057 0.05 0.008721 0.04457
avgpersonD gorebush 0.000405 0.003897 5554 0.10 0.9172 0.3968 0.05 -0.00723 0.008045
Intercept gunrightsguncontrol -0.3339 0.05872 5554 -5.69 <.0001 0.0000 0.05 -0.4490 -0.2188
expdiff gunrightsguncontrol 0.009540 0.01031 5554 0.93 0.3547 0.2599 0.05 -0.01066 0.02974
avgpersonD gunrightsguncontrol 0.000855 0.003917 5554 0.22 0.8273 0.3895 0.05 -0.00682 0.008533
Intercept hotcold -0.08692 0.05177 5554 -1.68 0.0932 0.0974 0.05 -0.1884 0.01456
expdiff hotcold -0.02761 0.01196 5554 -2.31 0.0210 0.0277 0.05 -0.05105 -0.00417
avgpersonD hotcold 0.000985 0.003902 5554 0.25 0.8006 0.3864 0.05 -0.00666 0.008635
Intercept jaylenodavidletterman -0.1892 0.05095 5554 -3.71 0.0002 0.0004 0.05 -0.2890 -0.08928
expdiff jaylenodavidletterman 0.001818 0.01286 5554 0.14 0.8876 0.3950 0.05 -0.02338 0.02702
avgpersonD jaylenodavidletterman -0.00069 0.003942 5554 -0.18 0.8604 0.3928 0.05 -0.00842 0.007034
Intercept jazzteenpop 0.01824 0.04729 5554 0.39 0.6998 0.3703 0.05 -0.07448 0.1110
expdiff jazzteenpop 0.04103 0.01171 5554 3.50 0.0005 0.0009 0.05 0.01807 0.06398
avgpersonD jazzteenpop 0.001074 0.003888 5554 0.28 0.7823 0.3840 0.05 -0.00655 0.008696
Intercept jewchristian 0.1285 0.04330 5554 2.97 0.0030 0.0049 0.05 0.04361 0.2134
expdiff jewchristian 0.01232 0.01454 5554 0.85 0.3967 0.2785 0.05 -0.01618 0.04081
avgpersonD jewchristian -0.00192 0.003891 5554 -0.49 0.6226 0.3534 0.05 -0.00954 0.005713
Intercept jewsmuslims 0.01910 0.04521 5554 0.42 0.6727 0.3649 0.05 -0.06954 0.1077
expdiff jewsmuslims 0.000078 0.01485 5554 0.01 0.9958 0.3989 0.05 -0.02904 0.02920
avgpersonD jewsmuslims 0.000290 0.003906 5554 0.07 0.9407 0.3978 0.05 -0.00737 0.007948
Intercept jocksnerds -0.1488 0.04477 5554 -3.32 0.0009 0.0016 0.05 -0.2366 -0.06106
expdiff jocksnerds 0.002964 0.01139 5554 0.26 0.7947 0.3856 0.05 -0.01936 0.02529
avgpersonD jocksnerds 0.001629 0.003840 5554 0.42 0.6714 0.3646 0.05 -0.00590 0.009156
Intercept juliarobertsmegryan -0.2363 0.04536 5554 -5.21 <.0001 0.0000 0.05 -0.3253 -0.1474
expdiff juliarobertsmegryan 0.004519 0.01499 5554 0.30 0.7631 0.3812 0.05 -0.02488 0.03391
avgpersonD juliarobertsmegryan 0.001085 0.003921 5554 0.28 0.7820 0.3839 0.05 -0.00660 0.008773
Intercept labormanagement -0.1783 0.04993 5554 -3.57 0.0004 0.0007 0.05 -0.2762 -0.08044
expdiff labormanagement -0.01088 0.01295 5554 -0.84 0.4008 0.2803 0.05 -0.03626 0.01450
avgpersonD labormanagement -0.00121 0.003895 5554 -0.31 0.7564 0.3802 0.05 -0.00884 0.006427
Intercept leadershelpers -0.07090 0.04945 5554 -1.43 0.1517 0.1427 0.05 -0.1678 0.02605
expdiff leadershelpers 0.02364 0.01438 5554 1.64 0.1003 0.1034 0.05 -0.00456 0.05183
avgpersonD leadershelpers 0.001018 0.003874 5554 0.26 0.7927 0.3854 0.05 -0.00658 0.008612
Intercept lettersnumbers 0.08638 0.04623 5554 1.87 0.0617 0.0696 0.05 -0.00424 0.1770
expdiff lettersnumbers -0.02594 0.01381 5554 -1.88 0.0604 0.0684 0.05 -0.05302 0.001131
avgpersonD lettersnumbers 0.000516 0.003936 5554 0.13 0.8957 0.3955 0.05 -0.00720 0.008231
Intercept liberalsconservatives -0.06008 0.05153 5554 -1.17 0.2437 0.2021 0.05 -0.1611 0.04094
expdiff liberalsconservatives 0.02159 0.009575 5554 2.25 0.0242 0.0314 0.05 0.002815 0.04036
avgpersonD liberalsconservatives -0.00033 0.003876 5554 -0.09 0.9314 0.3974 0.05 -0.00793 0.007266
Intercept malesfemales 0.1710 0.04454 5554 3.84 0.0001 0.0003 0.05 0.08367 0.2583
expdiff malesfemales -0.02599 0.01407 5554 -1.85 0.0648 0.0725 0.05 -0.05358 0.001600
avgpersonD malesfemales -0.00106 0.003904 5554 -0.27 0.7859 0.3845 0.05 -0.00871 0.006593
Intercept marriedsingle -0.03580 0.04756 5554 -0.75 0.4517 0.3005 0.05 -0.1290 0.05744
expdiff marriedsingle -0.00229 0.01141 5554 -0.20 0.8412 0.3910 0.05 -0.02465 0.02007
avgpersonD marriedsingle -0.00129 0.003864 5554 -0.33 0.7391 0.3774 0.05 -0.00886 0.006287
Intercept mcdonaldsburgerking 0.01823 0.04247 5554 0.43 0.6677 0.3638 0.05 -0.06502 0.1015
expdiff mcdonaldsburgerking -0.01458 0.01222 5554 -1.19 0.2327 0.1957 0.05 -0.03853 0.009367
avgpersonD mcdonaldsburgerking -0.00017 0.003932 5554 -0.04 0.9659 0.3986 0.05 -0.00788 0.007541
Intercept microsoftapple -0.2257 0.04962 5554 -4.55 <.0001 0.0000 0.05 -0.3229 -0.1284
expdiff microsoftapple -0.00561 0.01184 5554 -0.47 0.6357 0.3566 0.05 -0.02881 0.01760
avgpersonD microsoftapple -0.00079 0.003891 5554 -0.20 0.8392 0.3908 0.05 -0.00842 0.006838
Intercept newyorkcalifornia -0.05899 0.04699 5554 -1.26 0.2094 0.1814 0.05 -0.1511 0.03314
expdiff newyorkcalifornia -0.00374 0.01297 5554 -0.29 0.7729 0.3826 0.05 -0.02918 0.02169
avgpersonD newyorkcalifornia 0.000365 0.003892 5554 0.09 0.9252 0.3972 0.05 -0.00726 0.007994
Intercept northernerssoutherners -0.1157 0.04531 5554 -2.55 0.0107 0.0153 0.05 -0.2045 -0.02690
expdiff northernerssoutherners 0.02250 0.01326 5554 1.70 0.0898 0.0946 0.05 -0.00350 0.04849
avgpersonD northernerssoutherners 0.000965 0.003920 5554 0.25 0.8055 0.3870 0.05 -0.00672 0.008649
Intercept oldpeopleyoungpeople 0.1392 0.04798 5554 2.90 0.0037 0.0060 0.05 0.04510 0.2332
expdiff oldpeopleyoungpeople -0.01260 0.01489 5554 -0.85 0.3976 0.2789 0.05 -0.04179 0.01660
avgpersonD oldpeopleyoungpeople -0.00031 0.003906 5554 -0.08 0.9365 0.3977 0.05 -0.00797 0.007346
Intercept pantsskirts 0.07004 0.04770 5554 1.47 0.1420 0.1357 0.05 -0.02347 0.1636
expdiff pantsskirts -0.03872 0.01390 5554 -2.79 0.0054 0.0082 0.05 -0.06597 -0.01148
avgpersonD pantsskirts -0.00173 0.003918 5554 -0.44 0.6594 0.3620 0.05 -0.00941 0.005953
Intercept prochoiceprolife -0.2574 0.04858 5554 -5.30 <.0001 0.0000 0.05 -0.3526 -0.1621
expdiff prochoiceprolife 0.005544 0.008264 5554 0.67 0.5023 0.3185 0.05 -0.01066 0.02175
avgpersonD prochoiceprolife 0.000319 0.003875 5554 0.08 0.9345 0.3976 0.05 -0.00728 0.007915
Intercept publicprivate 0.1521 0.05494 5554 2.77 0.0057 0.0087 0.05 0.04439 0.2598
expdiff publicprivate 0.01097 0.01554 5554 0.71 0.4802 0.3109 0.05 -0.01949 0.04144
avgpersonD publicprivate 0.000780 0.003940 5554 0.20 0.8432 0.3912 0.05 -0.00694 0.008504
Intercept reasonemotions 0.06744 0.04868 5554 1.39 0.1660 0.1528 0.05 -0.02799 0.1629
expdiff reasonemotions -0.01059 0.01472 5554 -0.72 0.4718 0.3079 0.05 -0.03946 0.01827
avgpersonD reasonemotions 0.000776 0.003890 5554 0.20 0.8419 0.3911 0.05 -0.00685 0.008401
Intercept rebelliousconforming 0.1866 0.04865 5554 3.83 0.0001 0.0003 0.05 0.09119 0.2820
expdiff rebelliousconforming 0.007750 0.01046 5554 0.74 0.4586 0.3031 0.05 -0.01275 0.02825
avgpersonD rebelliousconforming 0.001220 0.003841 5554 0.32 0.7507 0.3793 0.05 -0.00631 0.008750
Intercept religionatheism 0.1438 0.04740 5554 3.03 0.0024 0.0040 0.05 0.05091 0.2368
expdiff religionatheism 0.004557 0.008505 5554 0.54 0.5921 0.3456 0.05 -0.01212 0.02123
avgpersonD religionatheism -0.00085 0.003854 5554 -0.22 0.8246 0.3892 0.05 -0.00841 0.006701
Intercept richpeoplepoorpeople 0.5542 0.04544 5554 12.20 <.0001 0.0000 0.05 0.4651 0.6433
expdiff richpeoplepoorpeople -0.02208 0.01342 5554 -1.65 0.1000 0.1031 0.05 -0.04839 0.004232
avgpersonD richpeoplepoorpeople 0.000129 0.003795 5554 0.03 0.9728 0.3987 0.05 -0.00731 0.007569
Intercept simpledifficult 0.3826 0.04934 5554 7.75 <.0001 0.0000 0.05 0.2859 0.4794
expdiff simpledifficult -0.00492 0.01169 5554 -0.42 0.6739 0.3651 0.05 -0.02783 0.01799
avgpersonD simpledifficult 0.000481 0.003871 5554 0.12 0.9012 0.3959 0.05 -0.00711 0.008070
Intercept summerwinter 0.07795 0.05092 5554 1.53 0.1259 0.1236 0.05 -0.02188 0.1778
expdiff summerwinter 0.01068 0.01056 5554 1.01 0.3119 0.2392 0.05 -0.01002 0.03137
avgpersonD summerwinter 0.000171 0.003869 5554 0.04 0.9648 0.3985 0.05 -0.00741 0.007755
Intercept tallpeopleshortpeople -0.2003 0.04650 5554 -4.31 <.0001 0.0000 0.05 -0.2914 -0.1091
expdiff tallpeopleshortpeople -0.00027 0.01679 5554 -0.02 0.9870 0.3989 0.05 -0.03319 0.03264
avgpersonD tallpeopleshortpeople 0.000670 0.003925 5554 0.17 0.8645 0.3932 0.05 -0.00702 0.008364
Intercept taxreductionssocialprograms 0.03797 0.04872 5554 0.78 0.4358 0.2944 0.05 -0.05754 0.1335
expdiff taxreductionssocialprograms -0.00389 0.01114 5554 -0.35 0.7267 0.3753 0.05 -0.02572 0.01794
avgpersonD taxreductionssocialprograms -0.00095 0.003900 5554 -0.24 0.8067 0.3872 0.05 -0.00860 0.006692
Intercept thinpeoplefatpeople 0.03736 0.04718 5554 0.79 0.4286 0.2916 0.05 -0.05514 0.1299
expdiff thinpeoplefatpeople -0.00248 0.01370 5554 -0.18 0.8565 0.3925 0.05 -0.02932 0.02437
avgpersonD thinpeoplefatpeople 0.000318 0.003844 5554 0.08 0.9342 0.3976 0.05 -0.00722 0.007853
Intercept tomcruisedenzelwashington -0.03979 0.04843 5554 -0.82 0.4113 0.2846 0.05 -0.1347 0.05514
expdiff tomcruisedenzelwashington -0.00658 0.01543 5554 -0.43 0.6700 0.3643 0.05 -0.03683 0.02368
avgpersonD tomcruisedenzelwashington -0.00065 0.003940 5554 -0.17 0.8684 0.3935 0.05 -0.00838 0.007071
Intercept usajapan 0.1216 0.04697 5554 2.59 0.0097 0.0140 0.05 0.02950 0.2137
expdiff usajapan -0.01234 0.01266 5554 -0.97 0.3297 0.2480 0.05 -0.03715 0.01248
avgpersonD usajapan 0.000108 0.003885 5554 0.03 0.9778 0.3988 0.05 -0.00751 0.007725
Intercept vegetablesmeat 0.07627 0.04581 5554 1.66 0.0960 0.0998 0.05 -0.01353 0.1661
expdiff vegetablesmeat -0.00017 0.01036 5554 -0.02 0.9871 0.3989 0.05 -0.02048 0.02014
avgpersonD vegetablesmeat -0.00050 0.003885 5554 -0.13 0.8970 0.3956 0.05 -0.00812 0.007114
Intercept yankeesdiamondbacks -0.1170 0.04809 5554 -2.43 0.0150 0.0207 0.05 -0.2113 -0.02277
expdiff yankeesdiamondbacks 0.000554 0.01364 5554 0.04 0.9676 0.3986 0.05 -0.02619 0.02730
avgpersonD yankeesdiamondbacks 0.000382 0.003907 5554 0.10 0.9221 0.3970 0.05 -0.00728 0.008041

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F Ord F
avgpersonD 1 57 4.51 0.0380 0.0205
expdiff 1 57 278.27 <.0001 0.0000


DATA = Study 6 - 58 Topics

The Mixed Procedure

Iteration History
Iteration Evaluations -2 Res Log Like Criterion
0 1 6747.78902013  
1 4 5985.64681767 .
2 1 5984.98521825 0.00001626
3 2 5984.94669547 0.00000008
4 1 5984.94650516 0.00000000

Convergence criteria met.

Covariance Parameter Estimates
Cov Parm Subject Estimate Standard Error Z Value Pr Z Ord Z
Intercept STDYNAME 0.02971 0.005995 4.96 <.0001 0.0003
avgdiff STDYNAME 1.528E-6 0.000068 0.02 0.4910 5856.2
ediff STDYNAME 0.000435 0.000129 3.37 0.0004 10.580
Residual   0.1589 0.003013 52.74 <.0001 0.0000

Fit Statistics
-2 Res Log Likelihood 5984.9
AIC (smaller is better) 5992.9
AICC (smaller is better) 5993.0
BIC (smaller is better) 6001.2

Solution for Fixed Effects
Effect Estimate Standard Error DF t Value Pr > |t| Ord t Alpha Lower Upper
Intercept 0.2590 0.02687 55 9.64 <.0001 0.0000 0.05 0.2052 0.3129
avgpersonDMN 0.06067 0.01814 5554 3.34 0.0008 0.0015 0.05 0.02511 0.09623
avgdiff 0.004590 0.002516 57 1.82 0.0733 0.0766 0.05 -0.00045 0.009628
ediff 0.05643 0.003452 57 16.35 <.0001 0.0000 0.05 0.04952 0.06334
expdiffMN 0.02850 0.02504 5554 1.14 0.2552 0.2088 0.05 -0.02059 0.07758

Type 3 Tests of Fixed Effects
Effect Num DF Den DF F Value Pr > F Ord F
avgpersonDMN 1 5554 11.19 0.0008 0.0004
avgdiff 1 57 3.33 0.0733 0.0420
ediff 1 57 267.16 <.0001 0.0000
expdiffMN 1 5554 1.30 0.2552 0.1835


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=africanamericaneuropeanameri

Number of Observations Read 124
Number of Observations Used 114
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.86635 1.86635 10.82 0.0013
Error 112 19.31771 0.17248    
Corrected Total 113 21.18406      

Root MSE 0.41531 R-Square 0.0881
Dependent Mean 0.24995 Adj R-Sq 0.0800
Coeff Var 166.15613    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.24163 0.03898 6.20 <.0001 0
expdiff 1 0.06322 0.01922 3.29 0.0013 0.29682


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=africanamericaneuropeanameri

Number of Observations Read 124
Number of Observations Used 114
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.30112 0.30112 1.61 0.2064
Error 112 20.88294 0.18645    
Corrected Total 113 21.18406      

Root MSE 0.43180 R-Square 0.0142
Dependent Mean 0.24995 Adj R-Sq 0.0054
Coeff Var 172.75650    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.21787 0.04767 4.57 <.0001 0
avgpersonD 1 0.02253 0.01773 1.27 0.2064 0.11922


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=africanamericaneuropeanameri

Number of Observations Read 124
Number of Observations Used 114
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.12030 1.06015 6.17 0.0029
Error 111 19.06376 0.17175    
Corrected Total 113 21.18406      

Root MSE 0.41442 R-Square 0.1001
Dependent Mean 0.24995 Adj R-Sq 0.0839
Coeff Var 165.80223    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.21226 0.04579 4.64 <.0001 0
expdiff 1 0.06245 0.01919 3.25 0.0015 0.29320
avgpersonD 1 0.02070 0.01703 1.22 0.2266 0.10955


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=approachingavoiding

Number of Observations Read 79
Number of Observations Used 71
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.57078 0.57078 4.58 0.0359
Error 69 8.59741 0.12460    
Corrected Total 70 9.16818      

Root MSE 0.35299 R-Square 0.0623
Dependent Mean 0.86164 Adj R-Sq 0.0487
Coeff Var 40.96677    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.79189 0.05307 14.92 <.0001 0
expdiff 1 0.02767 0.01293 2.14 0.0359 0.24951


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=approachingavoiding

Number of Observations Read 79
Number of Observations Used 71
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.02793 0.02793 0.21 0.6476
Error 69 9.14026 0.13247    
Corrected Total 70 9.16818      

Root MSE 0.36396 R-Square 0.0030
Dependent Mean 0.86164 Adj R-Sq -0.0114
Coeff Var 42.24032    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.85261 0.04747 17.96 <.0001 0
avgpersonD 1 0.00799 0.01740 0.46 0.6476 0.05519


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=approachingavoiding

Number of Observations Read 79
Number of Observations Used 71
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.57358 0.28679 2.27 0.1112
Error 68 8.59461 0.12639    
Corrected Total 70 9.16818      

Root MSE 0.35552 R-Square 0.0626
Dependent Mean 0.86164 Adj R-Sq 0.0350
Coeff Var 41.26017    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.79341 0.05442 14.58 <.0001 0
expdiff 1 0.02825 0.01360 2.08 0.0415 0.25478
avgpersonD 1 -0.00264 0.01775 -0.15 0.8821 -0.01826


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=asianswhites

Number of Observations Read 123
Number of Observations Used 111
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.04596 1.04596 6.80 0.0104
Error 109 16.77015 0.15385    
Corrected Total 110 17.81611      

Root MSE 0.39224 R-Square 0.0587
Dependent Mean 0.26135 Adj R-Sq 0.0501
Coeff Var 150.08231    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.22807 0.03936 5.79 <.0001 0
expdiff 1 0.05433 0.02084 2.61 0.0104 0.24230


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=asianswhites

Number of Observations Read 123
Number of Observations Used 111
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.60886 0.60886 3.86 0.0521
Error 109 17.20725 0.15786    
Corrected Total 110 17.81611      

Root MSE 0.39732 R-Square 0.0342
Dependent Mean 0.26135 Adj R-Sq 0.0253
Coeff Var 152.02560    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.25210 0.03801 6.63 <.0001 0
avgpersonD 1 0.03726 0.01897 1.96 0.0521 0.18486


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=asianswhites

Number of Observations Read 123
Number of Observations Used 111
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.32689 0.66344 4.35 0.0153
Error 108 16.48922 0.15268    
Corrected Total 110 17.81611      

Root MSE 0.39074 R-Square 0.0745
Dependent Mean 0.26135 Adj R-Sq 0.0573
Coeff Var 149.50732    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.22625 0.03923 5.77 <.0001 0
expdiff 1 0.04666 0.02151 2.17 0.0323 0.20808
avgpersonD 1 0.02623 0.01934 1.36 0.1778 0.13015


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=bookstelevision

Number of Observations Read 124
Number of Observations Used 114
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 3.17719 3.17719 20.42 <.0001
Error 112 17.42931 0.15562    
Corrected Total 113 20.60650      

Root MSE 0.39449 R-Square 0.1542
Dependent Mean 0.06630 Adj R-Sq 0.1466
Coeff Var 595.01192    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.00818 0.04046 -0.20 0.8401 0
expdiff 1 0.06108 0.01352 4.52 <.0001 0.39266


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=bookstelevision

Number of Observations Read 124
Number of Observations Used 114
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.07766 0.07766 0.42 0.5164
Error 112 20.52884 0.18329    
Corrected Total 113 20.60650      

Root MSE 0.42813 R-Square 0.0038
Dependent Mean 0.06630 Adj R-Sq -0.0051
Coeff Var 645.75500    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.09685 0.06173 1.57 0.1195 0
avgpersonD 1 0.01412 0.02169 0.65 0.5164 0.06139


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=bookstelevision

Number of Observations Read 124
Number of Observations Used 114
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 3.35925 1.67963 10.81 <.0001
Error 111 17.24725 0.15538    
Corrected Total 113 20.60650      

Root MSE 0.39418 R-Square 0.1630
Dependent Mean 0.06630 Adj R-Sq 0.1479
Coeff Var 594.55635    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.03728 0.05829 0.64 0.5238 0
expdiff 1 0.06229 0.01355 4.60 <.0001 0.40042
avgpersonD 1 0.02169 0.02004 1.08 0.2814 0.09431


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=canadianamerican

Number of Observations Read 114
Number of Observations Used 101
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.29952 1.29952 11.40 0.0010
Error 99 11.28178 0.11396    
Corrected Total 100 12.58130      

Root MSE 0.33758 R-Square 0.1033
Dependent Mean 0.30439 Adj R-Sq 0.0942
Coeff Var 110.90330    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31176 0.03366 9.26 <.0001 0
expdiff 1 0.04967 0.01471 3.38 0.0010 0.32139


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=canadianamerican

Number of Observations Read 114
Number of Observations Used 101
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.18960 0.18960 1.51 0.2213
Error 99 12.39170 0.12517    
Corrected Total 100 12.58130      

Root MSE 0.35379 R-Square 0.0151
Dependent Mean 0.30439 Adj R-Sq 0.0051
Coeff Var 116.23078    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.32398 0.03863 8.39 <.0001 0
avgpersonD 1 0.01954 0.01588 1.23 0.2213 0.12276


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=canadianamerican

Number of Observations Read 114
Number of Observations Used 101
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.33073 0.66537 5.80 0.0042
Error 98 11.25057 0.11480    
Corrected Total 100 12.58130      

Root MSE 0.33882 R-Square 0.1058
Dependent Mean 0.30439 Adj R-Sq 0.0875
Coeff Var 111.31340    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31966 0.03702 8.63 <.0001 0
expdiff 1 0.04784 0.01517 3.15 0.0021 0.30955
avgpersonD 1 0.00815 0.01563 0.52 0.6033 0.05119


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=capitalpunishmentimprisonmen

Number of Observations Read 102
Number of Observations Used 88
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.66254 0.66254 5.19 0.0252
Error 86 10.98476 0.12773    
Corrected Total 87 11.64729      

Root MSE 0.35739 R-Square 0.0569
Dependent Mean 0.15179 Adj R-Sq 0.0459
Coeff Var 235.44827    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.10677 0.04292 2.49 0.0148 0
expdiff 1 0.03170 0.01392 2.28 0.0252 0.23850


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=capitalpunishmentimprisonmen

Number of Observations Read 102
Number of Observations Used 88
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.08359 0.08359 0.62 0.4326
Error 86 11.56370 0.13446    
Corrected Total 87 11.64729      

Root MSE 0.36669 R-Square 0.0072
Dependent Mean 0.15179 Adj R-Sq -0.0044
Coeff Var 241.57315    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.14558 0.03988 3.65 0.0004 0
avgpersonD 1 0.01647 0.02088 0.79 0.4326 0.08472


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=capitalpunishmentimprisonmen

Number of Observations Read 102
Number of Observations Used 88
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.71030 0.35515 2.76 0.0690
Error 85 10.93699 0.12867    
Corrected Total 87 11.64729      

Root MSE 0.35871 R-Square 0.0610
Dependent Mean 0.15179 Adj R-Sq 0.0389
Coeff Var 236.31378    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.10312 0.04349 2.37 0.0200 0
expdiff 1 0.03095 0.01402 2.21 0.0300 0.23286
avgpersonD 1 0.01249 0.02051 0.61 0.5440 0.06428


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=catsdogs

Number of Observations Read 135
Number of Observations Used 124
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 4.74768 4.74768 30.85 <.0001
Error 122 18.77408 0.15389    
Corrected Total 123 23.52176      

Root MSE 0.39228 R-Square 0.2018
Dependent Mean 0.15080 Adj R-Sq 0.1953
Coeff Var 260.13724    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.19421 0.03608 5.38 <.0001 0
expdiff 1 0.06188 0.01114 5.55 <.0001 0.44927


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=catsdogs

Number of Observations Read 135
Number of Observations Used 124
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.08308 0.08308 0.43 0.5120
Error 122 23.43868 0.19212    
Corrected Total 123 23.52176      

Root MSE 0.43832 R-Square 0.0035
Dependent Mean 0.15080 Adj R-Sq -0.0046
Coeff Var 290.66301    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.12284 0.05794 2.12 0.0360 0
avgpersonD 1 -0.01458 0.02217 -0.66 0.5120 -0.05943


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=catsdogs

Number of Observations Read 135
Number of Observations Used 124
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 5.10677 2.55338 16.78 <.0001
Error 121 18.41499 0.15219    
Corrected Total 123 23.52176      

Root MSE 0.39012 R-Square 0.2171
Dependent Mean 0.15080 Adj R-Sq 0.2042
Coeff Var 258.69985    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.13719 0.05163 2.66 0.0089 0
expdiff 1 0.06428 0.01119 5.75 <.0001 0.46674
avgpersonD 1 -0.03061 0.01993 -1.54 0.1271 -0.12479


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=classicalhiphop

Number of Observations Read 134
Number of Observations Used 125
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 7.37906 7.37906 52.28 <.0001
Error 123 17.36030 0.14114    
Corrected Total 124 24.73936      

Root MSE 0.37569 R-Square 0.2983
Dependent Mean 0.32005 Adj R-Sq 0.2926
Coeff Var 117.38445    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.26903 0.03434 7.84 <.0001 0
expdiff 1 0.07007 0.00969 7.23 <.0001 0.54614


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=classicalhiphop

Number of Observations Read 134
Number of Observations Used 125
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.00824 0.00824 0.04 0.8399
Error 123 24.73112 0.20107    
Corrected Total 124 24.73936      

Root MSE 0.44840 R-Square 0.0003
Dependent Mean 0.32005 Adj R-Sq -0.0078
Coeff Var 140.10506    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.32435 0.04540 7.14 <.0001 0
avgpersonD 1 0.00356 0.01758 0.20 0.8399 0.01825


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=classicalhiphop

Number of Observations Read 134
Number of Observations Used 125
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 7.48304 3.74152 26.45 <.0001
Error 122 17.25632 0.14145    
Corrected Total 124 24.73936      

Root MSE 0.37609 R-Square 0.3025
Dependent Mean 0.32005 Adj R-Sq 0.2910
Coeff Var 117.51103    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.25263 0.03934 6.42 <.0001 0
expdiff 1 0.07134 0.00981 7.27 <.0001 0.55603
avgpersonD 1 -0.01279 0.01492 -0.86 0.3929 -0.06558


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=coffeetea

Number of Observations Read 108
Number of Observations Used 98
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.23220 2.23220 12.31 0.0007
Error 96 17.40958 0.18135    
Corrected Total 97 19.64178      

Root MSE 0.42585 R-Square 0.1136
Dependent Mean 0.11092 Adj R-Sq 0.1044
Coeff Var 383.94023    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.08820 0.04350 2.03 0.0454 0
expdiff 1 0.04946 0.01410 3.51 0.0007 0.33711


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=coffeetea

Number of Observations Read 108
Number of Observations Used 98
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.08431 0.08431 0.41 0.5215
Error 96 19.55747 0.20372    
Corrected Total 97 19.64178      

Root MSE 0.45136 R-Square 0.0043
Dependent Mean 0.11092 Adj R-Sq -0.0061
Coeff Var 406.93568    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.13756 0.06160 2.23 0.0279 0
avgpersonD 1 0.01663 0.02586 0.64 0.5215 0.06552


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=coffeetea

Number of Observations Read 108
Number of Observations Used 98
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.24472 1.12236 6.13 0.0031
Error 95 17.39706 0.18313    
Corrected Total 97 19.64178      

Root MSE 0.42793 R-Square 0.1143
Dependent Mean 0.11092 Adj R-Sq 0.0956
Coeff Var 385.81686    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.09875 0.05949 1.66 0.1002 0
expdiff 1 0.04902 0.01427 3.43 0.0009 0.33406
avgpersonD 1 0.00646 0.02469 0.26 0.7943 0.02543


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=cokepepsi

Number of Observations Read 103
Number of Observations Used 97
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 3.54066 3.54066 32.36 <.0001
Error 95 10.39325 0.10940    
Corrected Total 96 13.93391      

Root MSE 0.33076 R-Square 0.2541
Dependent Mean 0.09211 Adj R-Sq 0.2463
Coeff Var 359.08882    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.05436 0.03423 1.59 0.1156 0
expdiff 1 0.07041 0.01238 5.69 <.0001 0.50409


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=cokepepsi

Number of Observations Read 103
Number of Observations Used 97
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.27230 1.27230 9.55 0.0026
Error 95 12.66161 0.13328    
Corrected Total 96 13.93391      

Root MSE 0.36508 R-Square 0.0913
Dependent Mean 0.09211 Adj R-Sq 0.0817
Coeff Var 396.34260    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.09494 0.03708 2.56 0.0120 0
avgpersonD 1 0.07695 0.02490 3.09 0.0026 0.30217


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=cokepepsi

Number of Observations Read 103
Number of Observations Used 97
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 3.71040 1.85520 17.06 <.0001
Error 94 10.22352 0.10876    
Corrected Total 96 13.93391      

Root MSE 0.32979 R-Square 0.2663
Dependent Mean 0.09211 Adj R-Sq 0.2507
Coeff Var 358.03395    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.05908 0.03434 1.72 0.0886 0
expdiff 1 0.06371 0.01346 4.73 <.0001 0.45611
avgpersonD 1 0.03065 0.02453 1.25 0.2147 0.12035


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=creationismevolution

Number of Observations Read 99
Number of Observations Used 86
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 10.28415 10.28415 68.92 <.0001
Error 84 12.53392 0.14921    
Corrected Total 85 22.81806      

Root MSE 0.38628 R-Square 0.4507
Dependent Mean 0.09963 Adj R-Sq 0.4442
Coeff Var 387.72496    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.29716 0.04797 6.19 <.0001 0
expdiff 1 0.07322 0.00882 8.30 <.0001 0.67134


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=creationismevolution

Number of Observations Read 99
Number of Observations Used 86
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.24494 0.24494 0.91 0.3425
Error 84 22.57312 0.26873    
Corrected Total 85 22.81806      

Root MSE 0.51839 R-Square 0.0107
Dependent Mean 0.09963 Adj R-Sq -0.0010
Coeff Var 520.32682    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.10449 0.05613 1.86 0.0662 0
avgpersonD 1 0.01610 0.01686 0.95 0.3425 0.10361


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=creationismevolution

Number of Observations Read 99
Number of Observations Used 86
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 10.46263 5.23131 35.14 <.0001
Error 83 12.35543 0.14886    
Corrected Total 85 22.81806      

Root MSE 0.38582 R-Square 0.4585
Dependent Mean 0.09963 Adj R-Sq 0.4455
Coeff Var 387.26655    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.30045 0.04801 6.26 <.0001 0
expdiff 1 0.07604 0.00918 8.28 <.0001 0.69722
avgpersonD 1 -0.01432 0.01308 -1.09 0.2767 -0.09215


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=defenseeducation

Number of Observations Read 102
Number of Observations Used 90
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.61931 1.61931 12.04 0.0008
Error 88 11.83665 0.13451    
Corrected Total 89 13.45596      

Root MSE 0.36675 R-Square 0.1203
Dependent Mean 0.61945 Adj R-Sq 0.1103
Coeff Var 59.20570    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.45756 0.06059 7.55 <.0001 0
expdiff 1 0.05923 0.01707 3.47 0.0008 0.34690


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=defenseeducation

Number of Observations Read 102
Number of Observations Used 90
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.07863 0.07863 0.52 0.4739
Error 88 13.37732 0.15202    
Corrected Total 89 13.45596      

Root MSE 0.38989 R-Square 0.0058
Dependent Mean 0.61945 Adj R-Sq -0.0055
Coeff Var 62.94102    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.61376 0.04185 14.66 <.0001 0
avgpersonD 1 0.01584 0.02202 0.72 0.4739 0.07645


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=defenseeducation

Number of Observations Read 102
Number of Observations Used 90
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.70239 0.85119 6.30 0.0028
Error 87 11.75357 0.13510    
Corrected Total 89 13.45596      

Root MSE 0.36756 R-Square 0.1265
Dependent Mean 0.61945 Adj R-Sq 0.1064
Coeff Var 59.33567    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.45149 0.06122 7.37 <.0001 0
expdiff 1 0.05931 0.01711 3.47 0.0008 0.34738
avgpersonD 1 0.01628 0.02076 0.78 0.4351 0.07858


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=democratsrepublicans

Number of Observations Read 94
Number of Observations Used 82
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 12.34741 12.34741 91.39 <.0001
Error 80 10.80845 0.13511    
Corrected Total 81 23.15586      

Root MSE 0.36757 R-Square 0.5332
Dependent Mean 0.23355 Adj R-Sq 0.5274
Coeff Var 157.38269    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.02145 0.04626 0.46 0.6442 0
expdiff 1 0.09556 0.01000 9.56 <.0001 0.73023


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=democratsrepublicans

Number of Observations Read 94
Number of Observations Used 82
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.00445 0.00445 0.02 0.9016
Error 80 23.15140 0.28939    
Corrected Total 81 23.15586      

Root MSE 0.53795 R-Square 0.0002
Dependent Mean 0.23355 Adj R-Sq -0.0123
Coeff Var 230.33713    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.23374 0.05943 3.93 0.0002 0
avgpersonD 1 0.00482 0.03890 0.12 0.9016 0.01387


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=democratsrepublicans

Number of Observations Read 94
Number of Observations Used 82
Number of Observations with Missing Values 12

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 12.37869 6.18935 45.37 <.0001
Error 79 10.77716 0.13642    
Corrected Total 81 23.15586      

Root MSE 0.36935 R-Square 0.5346
Dependent Mean 0.23355 Adj R-Sq 0.5228
Coeff Var 158.14627    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.02019 0.04656 0.43 0.6657 0
expdiff 1 0.09590 0.01007 9.52 <.0001 0.73278
avgpersonD 1 -0.01282 0.02677 -0.48 0.6333 -0.03685


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=drinkingabstaining

Number of Observations Read 107
Number of Observations Used 99
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 3.75746 3.75746 21.36 <.0001
Error 97 17.06519 0.17593    
Corrected Total 98 20.82264      

Root MSE 0.41944 R-Square 0.1805
Dependent Mean 0.41031 Adj R-Sq 0.1720
Coeff Var 102.22462    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.34075 0.04476 7.61 <.0001 0
expdiff 1 0.05257 0.01138 4.62 <.0001 0.42479


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=drinkingabstaining

Number of Observations Read 107
Number of Observations Used 99
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.01853 0.01853 0.09 0.7694
Error 97 20.80411 0.21448    
Corrected Total 98 20.82264      

Root MSE 0.46311 R-Square 0.0009
Dependent Mean 0.41031 Adj R-Sq -0.0094
Coeff Var 112.86896    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.40016 0.05796 6.90 <.0001 0
avgpersonD 1 -0.00597 0.02031 -0.29 0.7694 -0.02983


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=drinkingabstaining

Number of Observations Read 107
Number of Observations Used 99
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 3.83980 1.91990 10.85 <.0001
Error 96 16.98284 0.17690    
Corrected Total 98 20.82264      

Root MSE 0.42060 R-Square 0.1844
Dependent Mean 0.41031 Adj R-Sq 0.1674
Coeff Var 102.50745    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31848 0.05550 5.74 <.0001 0
expdiff 1 0.05317 0.01144 4.65 <.0001 0.42967
avgpersonD 1 -0.01262 0.01850 -0.68 0.4967 -0.06307


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=exercisingrelaxing

Number of Observations Read 104
Number of Observations Used 95
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 4.02246 4.02246 14.73 0.0002
Error 93 25.39837 0.27310    
Corrected Total 94 29.42083      

Root MSE 0.52259 R-Square 0.1367
Dependent Mean 0.04225 Adj R-Sq 0.1274
Coeff Var 1237.02424    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.06984 0.06106 -1.14 0.2556 0
expdiff 1 0.07947 0.02071 3.84 0.0002 0.36976


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=exercisingrelaxing

Number of Observations Read 104
Number of Observations Used 95
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.15143 0.15143 0.48 0.4896
Error 93 29.26940 0.31472    
Corrected Total 94 29.42083      

Root MSE 0.56100 R-Square 0.0051
Dependent Mean 0.04225 Adj R-Sq -0.0056
Coeff Var 1327.95146    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.08257 0.08181 1.01 0.3154 0
avgpersonD 1 -0.01993 0.02872 -0.69 0.4896 -0.07174


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=exercisingrelaxing

Number of Observations Read 104
Number of Observations Used 95
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 4.11427 2.05714 7.48 0.0010
Error 92 25.30656 0.27507    
Corrected Total 94 29.42083      

Root MSE 0.52447 R-Square 0.1398
Dependent Mean 0.04225 Adj R-Sq 0.1211
Coeff Var 1241.47916    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.03768 0.08278 -0.46 0.6500 0
expdiff 1 0.07895 0.02080 3.80 0.0003 0.36735
avgpersonD 1 -0.01553 0.02688 -0.58 0.5649 -0.05591


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=familycareer

Number of Observations Read 102
Number of Observations Used 95
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.23406 0.23406 2.36 0.1282
Error 93 9.23896 0.09934    
Corrected Total 94 9.47302      

Root MSE 0.31519 R-Square 0.0247
Dependent Mean 0.55385 Adj R-Sq 0.0142
Coeff Var 56.90850    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.52880 0.03622 14.60 <.0001 0
expdiff 1 0.02428 0.01582 1.53 0.1282 0.15719


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=familycareer

Number of Observations Read 102
Number of Observations Used 95
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.10117 0.10117 1.00 0.3190
Error 93 9.37185 0.10077    
Corrected Total 94 9.47302      

Root MSE 0.31745 R-Square 0.0107
Dependent Mean 0.55385 Adj R-Sq 0.0000
Coeff Var 57.31634    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.54837 0.03303 16.60 <.0001 0
avgpersonD 1 0.01519 0.01516 1.00 0.3190 0.10334


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=familycareer

Number of Observations Read 102
Number of Observations Used 95
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.33040 0.16520 1.66 0.1953
Error 92 9.14262 0.09938    
Corrected Total 94 9.47302      

Root MSE 0.31524 R-Square 0.0349
Dependent Mean 0.55385 Adj R-Sq 0.0139
Coeff Var 56.91787    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.52371 0.03660 14.31 <.0001 0
expdiff 1 0.02404 0.01583 1.52 0.1322 0.15558
avgpersonD 1 0.01483 0.01506 0.98 0.3274 0.10086


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=feminismtraditionalvalues

Number of Observations Read 103
Number of Observations Used 89
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 7.13156 7.13156 45.01 <.0001
Error 87 13.78359 0.15843    
Corrected Total 88 20.91515      

Root MSE 0.39804 R-Square 0.3410
Dependent Mean 0.15781 Adj R-Sq 0.3334
Coeff Var 252.21934    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.13817 0.04229 3.27 0.0016 0
expdiff 1 0.09710 0.01447 6.71 <.0001 0.58393


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=feminismtraditionalvalues

Number of Observations Read 103
Number of Observations Used 89
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.37621 0.37621 1.59 0.2102
Error 87 20.53894 0.23608    
Corrected Total 88 20.91515      

Root MSE 0.48588 R-Square 0.0180
Dependent Mean 0.15781 Adj R-Sq 0.0067
Coeff Var 307.88337    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.09854 0.06970 1.41 0.1610 0
avgpersonD 1 -0.03293 0.02608 -1.26 0.2102 -0.13412


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=feminismtraditionalvalues

Number of Observations Read 103
Number of Observations Used 89
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 7.15439 3.57720 22.36 <.0001
Error 86 13.76076 0.16001    
Corrected Total 88 20.91515      

Root MSE 0.40001 R-Square 0.3421
Dependent Mean 0.15781 Adj R-Sq 0.3268
Coeff Var 253.47132    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.12354 0.05751 2.15 0.0345 0
expdiff 1 0.09613 0.01477 6.51 <.0001 0.57809
avgpersonD 1 -0.00824 0.02181 -0.38 0.7066 -0.03355


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=flexiblestable

Number of Observations Read 91
Number of Observations Used 85
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.89920 0.89920 3.79 0.0549
Error 83 19.68667 0.23719    
Corrected Total 84 20.58587      

Root MSE 0.48702 R-Square 0.0437
Dependent Mean 0.02702 Adj R-Sq 0.0322
Coeff Var 1802.75573    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.00960 0.05358 0.18 0.8582 0
expdiff 1 0.04934 0.02534 1.95 0.0549 0.20900


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=flexiblestable

Number of Observations Read 91
Number of Observations Used 85
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.11258 0.11258 0.46 0.5012
Error 83 20.47329 0.24667    
Corrected Total 84 20.58587      

Root MSE 0.49665 R-Square 0.0055
Dependent Mean 0.02702 Adj R-Sq -0.0065
Coeff Var 1838.41926    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.04905 0.06297 0.78 0.4383 0
avgpersonD 1 0.01621 0.02399 0.68 0.5012 0.07395


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=flexiblestable

Number of Observations Read 91
Number of Observations Used 85
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.94453 0.47226 1.97 0.1458
Error 82 19.64134 0.23953    
Corrected Total 84 20.58587      

Root MSE 0.48942 R-Square 0.0459
Dependent Mean 0.02702 Adj R-Sq 0.0226
Coeff Var 1811.62557    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.02422 0.06347 0.38 0.7037 0
expdiff 1 0.04787 0.02569 1.86 0.0659 0.20279
avgpersonD 1 0.01037 0.02384 0.44 0.6647 0.04733


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=foreignplacesamericanplaces

Number of Observations Read 99
Number of Observations Used 96
Number of Observations with Missing Values 3

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 5.44941 5.44941 37.44 <.0001
Error 94 13.68071 0.14554    
Corrected Total 95 19.13012      

Root MSE 0.38150 R-Square 0.2849
Dependent Mean 0.36699 Adj R-Sq 0.2773
Coeff Var 103.95308    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.33555 0.03927 8.54 <.0001 0
expdiff 1 0.09735 0.01591 6.12 <.0001 0.53372


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=foreignplacesamericanplaces

Number of Observations Read 99
Number of Observations Used 96
Number of Observations with Missing Values 3

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.16839 1.16839 6.11 0.0152
Error 94 17.96173 0.19108    
Corrected Total 95 19.13012      

Root MSE 0.43713 R-Square 0.0611
Dependent Mean 0.36699 Adj R-Sq 0.0511
Coeff Var 119.11244    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.33337 0.04664 7.15 <.0001 0
avgpersonD 1 0.04093 0.01655 2.47 0.0152 0.24714


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=foreignplacesamericanplaces

Number of Observations Read 99
Number of Observations Used 96
Number of Observations with Missing Values 3

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 5.46583 2.73292 18.60 <.0001
Error 93 13.66428 0.14693    
Corrected Total 95 19.13012      

Root MSE 0.38331 R-Square 0.2857
Dependent Mean 0.36699 Adj R-Sq 0.2704
Coeff Var 104.44772    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.33196 0.04090 8.12 <.0001 0
expdiff 1 0.09493 0.01755 5.41 <.0001 0.52043
avgpersonD 1 0.00533 0.01594 0.33 0.7389 0.03217


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=freedomsecurity

Number of Observations Read 103
Number of Observations Used 86
Number of Observations with Missing Values 17

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.37999 0.37999 2.85 0.0952
Error 84 11.20836 0.13343    
Corrected Total 85 11.58835      

Root MSE 0.36528 R-Square 0.0328
Dependent Mean 0.30322 Adj R-Sq 0.0213
Coeff Var 120.46948    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.25843 0.04750 5.44 <.0001 0
expdiff 1 0.03891 0.02305 1.69 0.0952 0.18108


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=freedomsecurity

Number of Observations Read 103
Number of Observations Used 86
Number of Observations with Missing Values 17

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.03847 0.03847 0.28 0.5982
Error 84 11.54988 0.13750    
Corrected Total 85 11.58835      

Root MSE 0.37081 R-Square 0.0033
Dependent Mean 0.30322 Adj R-Sq -0.0085
Coeff Var 122.29106    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.29871 0.04088 7.31 <.0001 0
avgpersonD 1 0.01019 0.01927 0.53 0.5982 0.05762


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=freedomsecurity

Number of Observations Read 103
Number of Observations Used 86
Number of Observations with Missing Values 17

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.39862 0.19931 1.48 0.2339
Error 83 11.18972 0.13482    
Corrected Total 85 11.58835      

Root MSE 0.36717 R-Square 0.0344
Dependent Mean 0.30322 Adj R-Sq 0.0111
Coeff Var 121.09223    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.25625 0.04810 5.33 <.0001 0
expdiff 1 0.03806 0.02329 1.63 0.1060 0.17714
avgpersonD 1 0.00713 0.01917 0.37 0.7110 0.04029


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=futurepast

Number of Observations Read 136
Number of Observations Used 122
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.00220 0.00220 0.02 0.8845
Error 120 12.44266 0.10369    
Corrected Total 121 12.44486      

Root MSE 0.32201 R-Square 0.0002
Dependent Mean 0.63213 Adj R-Sq -0.0082
Coeff Var 50.94023    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.63425 0.03260 19.46 <.0001 0
expdiff 1 -0.00170 0.01171 -0.15 0.8845 -0.01329


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=futurepast

Number of Observations Read 136
Number of Observations Used 122
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.06356 0.06356 0.62 0.4341
Error 120 12.38130 0.10318    
Corrected Total 121 12.44486      

Root MSE 0.32121 R-Square 0.0051
Dependent Mean 0.63213 Adj R-Sq -0.0032
Coeff Var 50.81447    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.62842 0.02946 21.33 <.0001 0
avgpersonD 1 0.01161 0.01479 0.78 0.4341 0.07146


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=futurepast

Number of Observations Read 136
Number of Observations Used 122
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.08596 0.04298 0.41 0.6621
Error 119 12.35890 0.10386    
Corrected Total 121 12.44486      

Root MSE 0.32227 R-Square 0.0069
Dependent Mean 0.63213 Adj R-Sq -0.0098
Coeff Var 50.98136    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.63484 0.03263 19.46 <.0001 0
expdiff 1 -0.00585 0.01259 -0.46 0.6432 -0.04559
avgpersonD 1 0.01432 0.01595 0.90 0.3710 0.08817


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=gaypeoplestraightpeople

Number of Observations Read 116
Number of Observations Used 108
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.03527 2.03527 14.75 0.0002
Error 106 14.62465 0.13797    
Corrected Total 107 16.65992      

Root MSE 0.37144 R-Square 0.1222
Dependent Mean 0.36955 Adj R-Sq 0.1139
Coeff Var 100.51223    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.29471 0.04071 7.24 <.0001 0
expdiff 1 0.05214 0.01358 3.84 0.0002 0.34952


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=gaypeoplestraightpeople

Number of Observations Read 116
Number of Observations Used 108
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.16944 0.16944 1.09 0.2990
Error 106 16.49048 0.15557    
Corrected Total 107 16.65992      

Root MSE 0.39442 R-Square 0.0102
Dependent Mean 0.36955 Adj R-Sq 0.0008
Coeff Var 106.73154    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31244 0.06659 4.69 <.0001 0
avgpersonD 1 0.01704 0.01633 1.04 0.2990 0.10085


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=gaypeoplestraightpeople

Number of Observations Read 116
Number of Observations Used 108
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.06358 1.03179 7.42 0.0010
Error 105 14.59634 0.13901    
Corrected Total 107 16.65992      

Root MSE 0.37284 R-Square 0.1239
Dependent Mean 0.36955 Adj R-Sq 0.1072
Coeff Var 100.89192    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.27256 0.06387 4.27 <.0001 0
expdiff 1 0.05107 0.01383 3.69 0.0004 0.34231
avgpersonD 1 0.00707 0.01567 0.45 0.6527 0.04185


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=gorebush

Number of Observations Read 108
Number of Observations Used 94
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 14.44131 14.44131 111.73 <.0001
Error 92 11.89091 0.12925    
Corrected Total 93 26.33221      

Root MSE 0.35951 R-Square 0.5484
Dependent Mean 0.13263 Adj R-Sq 0.5435
Coeff Var 271.06876    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.02164 0.03985 -0.54 0.5884 0
expdiff 1 0.09178 0.00868 10.57 <.0001 0.74056


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=gorebush

Number of Observations Read 108
Number of Observations Used 94
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 4.31698 4.31698 18.04 <.0001
Error 92 22.01524 0.23930    
Corrected Total 93 26.33221      

Root MSE 0.48918 R-Square 0.1639
Dependent Mean 0.13263 Adj R-Sq 0.1549
Coeff Var 368.83631    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.11852 0.05056 2.34 0.0212 0
avgpersonD 1 0.09034 0.02127 4.25 <.0001 0.40490


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=gorebush

Number of Observations Read 108
Number of Observations Used 94
Number of Observations with Missing Values 14

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 14.46542 7.23271 55.46 <.0001
Error 91 11.86679 0.13040    
Corrected Total 93 26.33221      

Root MSE 0.36112 R-Square 0.5493
Dependent Mean 0.13263 Adj R-Sq 0.5394
Coeff Var 272.27752    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.01911 0.04046 -0.47 0.6377 0
expdiff 1 0.08955 0.01015 8.82 <.0001 0.72254
avgpersonD 1 0.00786 0.01827 0.43 0.6682 0.03522


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=gunrightsguncontrol

Number of Observations Read 74
Number of Observations Used 70
Number of Observations with Missing Values 4

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 6.20355 6.20355 46.40 <.0001
Error 68 9.09178 0.13370    
Corrected Total 69 15.29533      

Root MSE 0.36565 R-Square 0.4056
Dependent Mean 0.08293 Adj R-Sq 0.3968
Coeff Var 440.94197    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.13026 0.05375 -2.42 0.0180 0
expdiff 1 0.07280 0.01069 6.81 <.0001 0.63686


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=gunrightsguncontrol

Number of Observations Read 74
Number of Observations Used 70
Number of Observations with Missing Values 4

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.38306 0.38306 1.75 0.1907
Error 68 14.91227 0.21930    
Corrected Total 69 15.29533      

Root MSE 0.46829 R-Square 0.0250
Dependent Mean 0.08293 Adj R-Sq 0.0107
Coeff Var 564.71437    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.07399 0.05638 1.31 0.1938 0
avgpersonD 1 0.03530 0.02671 1.32 0.1907 0.15825


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=gunrightsguncontrol

Number of Observations Read 74
Number of Observations Used 70
Number of Observations with Missing Values 4

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 6.58992 3.29496 25.36 <.0001
Error 67 8.70541 0.12993    
Corrected Total 69 15.29533      

Root MSE 0.36046 R-Square 0.4308
Dependent Mean 0.08293 Adj R-Sq 0.4139
Coeff Var 434.67894    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.13929 0.05325 -2.62 0.0110 0
expdiff 1 0.07282 0.01054 6.91 <.0001 0.63703
avgpersonD 1 0.03545 0.02056 1.72 0.0892 0.15894


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=hotcold

Number of Observations Read 95
Number of Observations Used 80
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.14314 0.14314 0.39 0.5359
Error 78 28.87175 0.37015    
Corrected Total 79 29.01489      

Root MSE 0.60840 R-Square 0.0049
Dependent Mean 0.10790 Adj R-Sq -0.0078
Coeff Var 563.86881    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.12386 0.07271 1.70 0.0924 0
expdiff 1 0.01373 0.02209 0.62 0.5359 0.07024


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=hotcold

Number of Observations Read 95
Number of Observations Used 80
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.29253 0.29253 0.79 0.3755
Error 78 28.72236 0.36824    
Corrected Total 79 29.01489      

Root MSE 0.60682 R-Square 0.0101
Dependent Mean 0.10790 Adj R-Sq -0.0026
Coeff Var 562.40812    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.15171 0.08378 1.81 0.0740 0
avgpersonD 1 0.02771 0.03109 0.89 0.3755 0.10041


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=hotcold

Number of Observations Read 95
Number of Observations Used 80
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.46971 0.23486 0.63 0.5335
Error 77 28.54518 0.37072    
Corrected Total 79 29.01489      

Root MSE 0.60887 R-Square 0.0162
Dependent Mean 0.10790 Adj R-Sq -0.0094
Coeff Var 564.29973    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.17214 0.08910 1.93 0.0571 0
expdiff 1 0.01532 0.02217 0.69 0.4914 0.07837
avgpersonD 1 0.02937 0.03129 0.94 0.3509 0.10640


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=jaylenodavidletterman

Number of Observations Read 80
Number of Observations Used 76
Number of Observations with Missing Values 4

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.22587 2.22587 18.82 <.0001
Error 74 8.75343 0.11829    
Corrected Total 75 10.97930      

Root MSE 0.34393 R-Square 0.2027
Dependent Mean 0.06595 Adj R-Sq 0.1920
Coeff Var 521.48185    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.03868 0.03995 0.97 0.3361 0
expdiff 1 0.06097 0.01406 4.34 <.0001 0.45026


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=jaylenodavidletterman

Number of Observations Read 80
Number of Observations Used 76
Number of Observations with Missing Values 4

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.00053728 0.00053728 0.00 0.9522
Error 74 10.97876 0.14836    
Corrected Total 75 10.97930      

Root MSE 0.38518 R-Square 0.0000
Dependent Mean 0.06595 Adj R-Sq -0.0135
Coeff Var 584.01874    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.06708 0.04800 1.40 0.1664 0
avgpersonD 1 0.00169 0.02807 0.06 0.9522 0.00700


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=jaylenodavidletterman

Number of Observations Read 80
Number of Observations Used 76
Number of Observations with Missing Values 4

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.52119 1.26059 10.88 <.0001
Error 73 8.45811 0.11586    
Corrected Total 75 10.97930      

Root MSE 0.34039 R-Square 0.2296
Dependent Mean 0.06595 Adj R-Sq 0.2085
Coeff Var 516.10875    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.00657 0.04436 0.15 0.8827 0
expdiff 1 0.06943 0.01489 4.66 <.0001 0.51272
avgpersonD 1 -0.04238 0.02655 -1.60 0.1147 -0.17550


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=jazzteenpop

Number of Observations Read 111
Number of Observations Used 105
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 11.30652 11.30652 92.58 <.0001
Error 103 12.57871 0.12212    
Corrected Total 104 23.88523      

Root MSE 0.34946 R-Square 0.4734
Dependent Mean 0.13876 Adj R-Sq 0.4683
Coeff Var 251.85470    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.28261 0.03724 7.59 <.0001 0
expdiff 1 0.11800 0.01226 9.62 <.0001 0.68802


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=jazzteenpop

Number of Observations Read 111
Number of Observations Used 105
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.21786 1.21786 5.53 0.0206
Error 103 22.66737 0.22007    
Corrected Total 104 23.88523      

Root MSE 0.46912 R-Square 0.0510
Dependent Mean 0.13876 Adj R-Sq 0.0418
Coeff Var 338.09016    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.17532 0.04835 3.63 0.0004 0
avgpersonD 1 0.05057 0.02150 2.35 0.0206 0.22581


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=jazzteenpop

Number of Observations Read 111
Number of Observations Used 105
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 11.60791 5.80395 48.22 <.0001
Error 102 12.27732 0.12037    
Corrected Total 104 23.88523      

Root MSE 0.34694 R-Square 0.4860
Dependent Mean 0.13876 Adj R-Sq 0.4759
Coeff Var 250.03587    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.29707 0.03808 7.80 <.0001 0
expdiff 1 0.11474 0.01235 9.29 <.0001 0.66896
avgpersonD 1 0.02552 0.01612 1.58 0.1167 0.11394


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=jewchristian

Number of Observations Read 130
Number of Observations Used 123
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.47473 2.47473 15.68 0.0001
Error 121 19.09921 0.15784    
Corrected Total 122 21.57393      

Root MSE 0.39730 R-Square 0.1147
Dependent Mean 0.36871 Adj R-Sq 0.1074
Coeff Var 107.75362    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.38127 0.03596 10.60 <.0001 0
expdiff 1 0.08134 0.02054 3.96 0.0001 0.33869


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=jewchristian

Number of Observations Read 130
Number of Observations Used 123
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.99994 0.99994 5.88 0.0168
Error 121 20.57400 0.17003    
Corrected Total 122 21.57393      

Root MSE 0.41235 R-Square 0.0463
Dependent Mean 0.36871 Adj R-Sq 0.0385
Coeff Var 111.83649    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.40922 0.04076 10.04 <.0001 0
avgpersonD 1 -0.04721 0.01947 -2.43 0.0168 -0.21529


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=jewchristian

Number of Observations Read 130
Number of Observations Used 123
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 3.17488 1.58744 10.35 <.0001
Error 120 18.39906 0.15333    
Corrected Total 122 21.57393      

Root MSE 0.39157 R-Square 0.1472
Dependent Mean 0.36871 Adj R-Sq 0.1329
Coeff Var 106.19988    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.41465 0.03873 10.71 <.0001 0
expdiff 1 0.07669 0.02036 3.77 0.0003 0.31934
avgpersonD 1 -0.03973 0.01859 -2.14 0.0346 -0.18118


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=jewsmuslims

Number of Observations Read 120
Number of Observations Used 114
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.13231 1.13231 8.88 0.0035
Error 112 14.27801 0.12748    
Corrected Total 113 15.41031      

Root MSE 0.35705 R-Square 0.0735
Dependent Mean 0.30538 Adj R-Sq 0.0652
Coeff Var 116.91783    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.26635 0.03591 7.42 <.0001 0
expdiff 1 0.05779 0.01939 2.98 0.0035 0.27107


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=jewsmuslims

Number of Observations Read 120
Number of Observations Used 114
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.24907 0.24907 1.84 0.1777
Error 112 15.16125 0.13537    
Corrected Total 113 15.41031      

Root MSE 0.36792 R-Square 0.0162
Dependent Mean 0.30538 Adj R-Sq 0.0074
Coeff Var 120.47985    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.28653 0.03716 7.71 <.0001 0
avgpersonD 1 0.02579 0.01901 1.36 0.1777 0.12713


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=jewsmuslims

Number of Observations Read 120
Number of Observations Used 114
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.19974 0.59987 4.69 0.0111
Error 111 14.21057 0.12802    
Corrected Total 113 15.41031      

Root MSE 0.35780 R-Square 0.0779
Dependent Mean 0.30538 Adj R-Sq 0.0612
Coeff Var 117.16565    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.25853 0.03757 6.88 <.0001 0
expdiff 1 0.05444 0.01998 2.73 0.0075 0.25532
avgpersonD 1 0.01379 0.01901 0.73 0.4695 0.06800


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=jocksnerds

Number of Observations Read 134
Number of Observations Used 124
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 3.50014 3.50014 22.28 <.0001
Error 122 19.16993 0.15713    
Corrected Total 123 22.67007      

Root MSE 0.39640 R-Square 0.1544
Dependent Mean 0.10945 Adj R-Sq 0.1475
Coeff Var 362.17566    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.07007 0.03656 1.92 0.0577 0
expdiff 1 0.06261 0.01327 4.72 <.0001 0.39293


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=jocksnerds

Number of Observations Read 134
Number of Observations Used 124
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.30441 1.30441 7.45 0.0073
Error 122 21.36566 0.17513    
Corrected Total 123 22.67007      

Root MSE 0.41848 R-Square 0.0575
Dependent Mean 0.10945 Adj R-Sq 0.0498
Coeff Var 382.35529    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.21003 0.05264 3.99 0.0001 0
avgpersonD 1 0.04173 0.01529 2.73 0.0073 0.23987


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=jocksnerds

Number of Observations Read 134
Number of Observations Used 124
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 4.03425 2.01712 13.10 <.0001
Error 121 18.63582 0.15402    
Corrected Total 123 22.67007      

Root MSE 0.39245 R-Square 0.1780
Dependent Mean 0.10945 Adj R-Sq 0.1644
Coeff Var 358.56712    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.13985 0.05210 2.68 0.0083 0
expdiff 1 0.05682 0.01350 4.21 <.0001 0.35660
avgpersonD 1 0.02744 0.01474 1.86 0.0650 0.15773


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=juliarobertsmegryan

Number of Observations Read 119
Number of Observations Used 108
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.60650 1.60650 13.01 0.0005
Error 106 13.09289 0.12352    
Corrected Total 107 14.69939      

Root MSE 0.35145 R-Square 0.1093
Dependent Mean 0.02372 Adj R-Sq 0.1009
Coeff Var 1481.96900    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.00810 0.03495 -0.23 0.8172 0
expdiff 1 0.07012 0.01944 3.61 0.0005 0.33059


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=juliarobertsmegryan

Number of Observations Read 119
Number of Observations Used 108
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.31214 1.31214 10.39 0.0017
Error 106 13.38725 0.12629    
Corrected Total 107 14.69939      

Root MSE 0.35538 R-Square 0.0893
Dependent Mean 0.02372 Adj R-Sq 0.0807
Coeff Var 1498.53534    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.03538 0.03439 1.03 0.3058 0
avgpersonD 1 0.06573 0.02039 3.22 0.0017 0.29877


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=juliarobertsmegryan

Number of Observations Read 119
Number of Observations Used 108
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.12403 1.06201 8.87 0.0003
Error 105 12.57536 0.11977    
Corrected Total 107 14.69939      

Root MSE 0.34607 R-Square 0.1445
Dependent Mean 0.02372 Adj R-Sq 0.1282
Coeff Var 1459.28419    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.00720 0.03519 0.20 0.8383 0
expdiff 1 0.05385 0.02068 2.60 0.0106 0.25389
avgpersonD 1 0.04459 0.02145 2.08 0.0401 0.20271


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=labormanagement

Number of Observations Read 97
Number of Observations Used 82
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.83974 0.83974 4.92 0.0294
Error 80 13.66168 0.17077    
Corrected Total 81 14.50142      

Root MSE 0.41324 R-Square 0.0579
Dependent Mean 0.02616 Adj R-Sq 0.0461
Coeff Var 1579.43522    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.04608 0.04651 0.99 0.3248 0
expdiff 1 0.03797 0.01712 2.22 0.0294 0.24064


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=labormanagement

Number of Observations Read 97
Number of Observations Used 82
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.18091 0.18091 1.01 0.3178
Error 80 14.32051 0.17901    
Corrected Total 81 14.50142      

Root MSE 0.42309 R-Square 0.0125
Dependent Mean 0.02616 Adj R-Sq 0.0001
Coeff Var 1617.07051    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.00044343 0.05327 0.01 0.9934 0
avgpersonD 1 -0.02062 0.02051 -1.01 0.3178 -0.11169


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=labormanagement

Number of Observations Read 97
Number of Observations Used 82
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.12325 0.56163 3.32 0.0414
Error 79 13.37817 0.16934    
Corrected Total 81 14.50142      

Root MSE 0.41151 R-Square 0.0775
Dependent Mean 0.02616 Adj R-Sq 0.0541
Coeff Var 1572.82197    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.01499 0.05218 0.29 0.7747 0
expdiff 1 0.04048 0.01716 2.36 0.0208 0.25656
avgpersonD 1 -0.02598 0.02008 -1.29 0.1995 -0.14073


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=leadershelpers

Number of Observations Read 110
Number of Observations Used 99
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 4.13852 4.13852 21.39 <.0001
Error 97 18.76657 0.19347    
Corrected Total 98 22.90509      

Root MSE 0.43985 R-Square 0.1807
Dependent Mean 0.06114 Adj R-Sq 0.1722
Coeff Var 719.40320    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.19106 0.05238 3.65 0.0004 0
expdiff 1 0.10372 0.02243 4.63 <.0001 0.42507


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=leadershelpers

Number of Observations Read 110
Number of Observations Used 99
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.55424 0.55424 2.41 0.1242
Error 97 22.35085 0.23042    
Corrected Total 98 22.90509      

Root MSE 0.48002 R-Square 0.0242
Dependent Mean 0.06114 Adj R-Sq 0.0141
Coeff Var 785.10357    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.09955 0.05423 1.84 0.0695 0
avgpersonD 1 0.03184 0.02053 1.55 0.1242 0.15555


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=leadershelpers

Number of Observations Read 110
Number of Observations Used 99
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 4.41358 2.20679 11.46 <.0001
Error 96 18.49151 0.19262    
Corrected Total 98 22.90509      

Root MSE 0.43888 R-Square 0.1927
Dependent Mean 0.06114 Adj R-Sq 0.1759
Coeff Var 717.82131    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.21458 0.05585 3.84 0.0002 0
expdiff 1 0.10077 0.02251 4.48 <.0001 0.41297
avgpersonD 1 0.02257 0.01889 1.19 0.2350 0.11025


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=lettersnumbers

Number of Observations Read 124
Number of Observations Used 109
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.03181 0.03181 0.20 0.6565
Error 107 17.10973 0.15990    
Corrected Total 108 17.14154      

Root MSE 0.39988 R-Square 0.0019
Dependent Mean 0.36149 Adj R-Sq -0.0075
Coeff Var 110.62139    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.35406 0.04176 8.48 <.0001 0
expdiff 1 0.00835 0.01871 0.45 0.6565 0.04308


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=lettersnumbers

Number of Observations Read 124
Number of Observations Used 109
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.29988 0.29988 1.91 0.1704
Error 107 16.84166 0.15740    
Corrected Total 108 17.14154      

Root MSE 0.39674 R-Square 0.0175
Dependent Mean 0.36149 Adj R-Sq 0.0083
Coeff Var 109.75140    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.35339 0.03845 9.19 <.0001 0
avgpersonD 1 0.03767 0.02729 1.38 0.1704 0.13227


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=lettersnumbers

Number of Observations Read 124
Number of Observations Used 109
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.30743 0.15371 0.97 0.3832
Error 106 16.83411 0.15881    
Corrected Total 108 17.14154      

Root MSE 0.39851 R-Square 0.0179
Dependent Mean 0.36149 Adj R-Sq -0.0006
Coeff Var 110.24315    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.34994 0.04174 8.38 <.0001 0
expdiff 1 0.00413 0.01892 0.22 0.8278 0.02130
avgpersonD 1 0.03664 0.02782 1.32 0.1906 0.12866


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=liberalsconservatives

Number of Observations Read 93
Number of Observations Used 84
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 10.34933 10.34933 64.45 <.0001
Error 82 13.16682 0.16057    
Corrected Total 83 23.51615      

Root MSE 0.40071 R-Square 0.4401
Dependent Mean 0.32610 Adj R-Sq 0.4333
Coeff Var 122.88016    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.16689 0.04801 3.48 0.0008 0
expdiff 1 0.08359 0.01041 8.03 <.0001 0.66340


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=liberalsconservatives

Number of Observations Read 93
Number of Observations Used 84
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.18098 0.18098 0.64 0.4275
Error 82 23.33516 0.28458    
Corrected Total 83 23.51615      

Root MSE 0.53346 R-Square 0.0077
Dependent Mean 0.32610 Adj R-Sq -0.0044
Coeff Var 163.58622    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31736 0.05923 5.36 <.0001 0
avgpersonD 1 -0.01830 0.02294 -0.80 0.4275 -0.08773


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=liberalsconservatives

Number of Observations Read 93
Number of Observations Used 84
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 10.34934 5.17467 31.83 <.0001
Error 81 13.16681 0.16255    
Corrected Total 83 23.51615      

Root MSE 0.40318 R-Square 0.4401
Dependent Mean 0.32610 Adj R-Sq 0.4263
Coeff Var 123.63631    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.16684 0.04864 3.43 0.0010 0
expdiff 1 0.08358 0.01057 7.91 <.0001 0.66331
avgpersonD 1 -0.00013683 0.01749 -0.01 0.9938 -0.00065610


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=malesfemales

Number of Observations Read 124
Number of Observations Used 111
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.01834 0.01834 0.10 0.7567
Error 109 20.72205 0.19011    
Corrected Total 110 20.74039      

Root MSE 0.43602 R-Square 0.0009
Dependent Mean 0.42482 Adj R-Sq -0.0083
Coeff Var 102.63460    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.42394 0.04148 10.22 <.0001 0
expdiff 1 0.00655 0.02110 0.31 0.7567 0.02974


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=malesfemales

Number of Observations Read 124
Number of Observations Used 111
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.21058 0.21058 1.12 0.2927
Error 109 20.52981 0.18835    
Corrected Total 110 20.74039      

Root MSE 0.43399 R-Square 0.0102
Dependent Mean 0.42482 Adj R-Sq 0.0011
Coeff Var 102.15742    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.42325 0.04122 10.27 <.0001 0
avgpersonD 1 -0.02356 0.02228 -1.06 0.2927 -0.10076


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=malesfemales

Number of Observations Read 124
Number of Observations Used 111
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.22914 0.11457 0.60 0.5489
Error 108 20.51124 0.18992    
Corrected Total 110 20.74039      

Root MSE 0.43580 R-Square 0.0110
Dependent Mean 0.42482 Adj R-Sq -0.0073
Coeff Var 102.58287    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.42236 0.04149 10.18 <.0001 0
expdiff 1 0.00659 0.02109 0.31 0.7551 0.02992
avgpersonD 1 -0.02358 0.02238 -1.05 0.2944 -0.10082


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=marriedsingle

Number of Observations Read 122
Number of Observations Used 113
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.51352 2.51352 11.22 0.0011
Error 111 24.86085 0.22397    
Corrected Total 112 27.37437      

Root MSE 0.47326 R-Square 0.0918
Dependent Mean 0.29331 Adj R-Sq 0.0836
Coeff Var 161.35162    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.21471 0.05032 4.27 <.0001 0
expdiff 1 0.05350 0.01597 3.35 0.0011 0.30302


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=marriedsingle

Number of Observations Read 122
Number of Observations Used 113
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.12811 0.12811 0.52 0.4715
Error 111 27.24626 0.24546    
Corrected Total 112 27.37437      

Root MSE 0.49544 R-Square 0.0047
Dependent Mean 0.29331 Adj R-Sq -0.0043
Coeff Var 168.91522    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.32096 0.06031 5.32 <.0001 0
avgpersonD 1 -0.01469 0.02033 -0.72 0.4715 -0.06841


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=marriedsingle

Number of Observations Read 122
Number of Observations Used 113
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.68792 1.34396 5.99 0.0034
Error 110 24.68645 0.22442    
Corrected Total 112 27.37437      

Root MSE 0.47373 R-Square 0.0982
Dependent Mean 0.29331 Adj R-Sq 0.0818
Coeff Var 161.51387    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.24622 0.06177 3.99 0.0001 0
expdiff 1 0.05403 0.01600 3.38 0.0010 0.30601
avgpersonD 1 -0.01715 0.01945 -0.88 0.3799 -0.07987


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=mcdonaldsburgerking

Number of Observations Read 138
Number of Observations Used 129
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.86411 0.86411 6.31 0.0133
Error 127 17.39483 0.13697    
Corrected Total 128 18.25894      

Root MSE 0.37009 R-Square 0.0473
Dependent Mean 0.26666 Adj R-Sq 0.0398
Coeff Var 138.78574    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.26397 0.03260 8.10 <.0001 0
expdiff 1 0.03481 0.01386 2.51 0.0133 0.21754


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=mcdonaldsburgerking

Number of Observations Read 138
Number of Observations Used 129
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.09721 0.09721 0.68 0.4112
Error 127 18.16173 0.14301    
Corrected Total 128 18.25894      

Root MSE 0.37816 R-Square 0.0053
Dependent Mean 0.26666 Adj R-Sq -0.0025
Coeff Var 141.81213    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.26151 0.03388 7.72 <.0001 0
avgpersonD 1 0.02011 0.02439 0.82 0.4112 0.07297


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=mcdonaldsburgerking

Number of Observations Read 138
Number of Observations Used 129
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.86500 0.43250 3.13 0.0470
Error 126 17.39395 0.13805    
Corrected Total 128 18.25894      

Root MSE 0.37155 R-Square 0.0474
Dependent Mean 0.26666 Adj R-Sq 0.0323
Coeff Var 139.33185    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.26348 0.03329 7.91 <.0001 0
expdiff 1 0.03445 0.01461 2.36 0.0199 0.21532
avgpersonD 1 0.00201 0.02517 0.08 0.9364 0.00730


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=microsoftapple

Number of Observations Read 92
Number of Observations Used 81
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.00059 2.00059 12.49 0.0007
Error 79 12.65259 0.16016    
Corrected Total 80 14.65317      

Root MSE 0.40020 R-Square 0.1365
Dependent Mean 0.02349 Adj R-Sq 0.1256
Coeff Var 1703.53897    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.00555 0.04476 0.12 0.9016 0
expdiff 1 0.05011 0.01418 3.53 0.0007 0.36950


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=microsoftapple

Number of Observations Read 92
Number of Observations Used 81
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.13868 0.13868 0.75 0.3876
Error 79 14.51449 0.18373    
Corrected Total 80 14.65317      

Root MSE 0.42863 R-Square 0.0095
Dependent Mean 0.02349 Adj R-Sq -0.0031
Coeff Var 1824.58153    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.02327 0.04763 0.49 0.6266 0
avgpersonD 1 0.01640 0.01887 0.87 0.3876 0.09729


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=microsoftapple

Number of Observations Read 92
Number of Observations Used 81
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.06854 1.03427 6.41 0.0026
Error 78 12.58463 0.16134    
Corrected Total 80 14.65317      

Root MSE 0.40167 R-Square 0.1412
Dependent Mean 0.02349 Adj R-Sq 0.1191
Coeff Var 1709.81420    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.00415 0.04497 0.09 0.9267 0
expdiff 1 0.05451 0.01576 3.46 0.0009 0.40191
avgpersonD 1 -0.01271 0.01959 -0.65 0.5183 -0.07542


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=newyorkcalifornia

Number of Observations Read 104
Number of Observations Used 95
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.53016 1.53016 8.19 0.0052
Error 93 17.38452 0.18693    
Corrected Total 94 18.91468      

Root MSE 0.43235 R-Square 0.0809
Dependent Mean 0.19898 Adj R-Sq 0.0710
Coeff Var 217.28739    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.18330 0.04470 4.10 <.0001 0
expdiff 1 0.05136 0.01795 2.86 0.0052 0.28443


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=newyorkcalifornia

Number of Observations Read 104
Number of Observations Used 95
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.31444 0.31444 1.57 0.2130
Error 93 18.60024 0.20000    
Corrected Total 94 18.91468      

Root MSE 0.44722 R-Square 0.0166
Dependent Mean 0.19898 Adj R-Sq 0.0061
Coeff Var 224.75659    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.19257 0.04617 4.17 <.0001 0
avgpersonD 1 0.02617 0.02087 1.25 0.2130 0.12893


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=newyorkcalifornia

Number of Observations Read 104
Number of Observations Used 95
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.62726 0.81363 4.33 0.0160
Error 92 17.28742 0.18791    
Corrected Total 94 18.91468      

Root MSE 0.43348 R-Square 0.0860
Dependent Mean 0.19898 Adj R-Sq 0.0662
Coeff Var 217.85413    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.18050 0.04498 4.01 0.0001 0
expdiff 1 0.04862 0.01839 2.64 0.0097 0.26928
avgpersonD 1 0.01486 0.02068 0.72 0.4741 0.07323


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=northernerssoutherners

Number of Observations Read 116
Number of Observations Used 107
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 5.10206 5.10206 21.14 <.0001
Error 105 25.33551 0.24129    
Corrected Total 106 30.43756      

Root MSE 0.49121 R-Square 0.1676
Dependent Mean 0.15427 Adj R-Sq 0.1597
Coeff Var 318.41222    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.11512 0.04824 2.39 0.0188 0
expdiff 1 0.09741 0.02118 4.60 <.0001 0.40942


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=northernerssoutherners

Number of Observations Read 116
Number of Observations Used 107
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.83383 1.83383 6.73 0.0108
Error 105 28.60374 0.27242    
Corrected Total 106 30.43756      

Root MSE 0.52194 R-Square 0.0602
Dependent Mean 0.15427 Adj R-Sq 0.0513
Coeff Var 338.32676    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.15622 0.05046 3.10 0.0025 0
avgpersonD 1 0.07576 0.02920 2.59 0.0108 0.24546


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=northernerssoutherners

Number of Observations Read 116
Number of Observations Used 107
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 5.38595 2.69297 11.18 <.0001
Error 104 25.05162 0.24088    
Corrected Total 106 30.43756      

Root MSE 0.49080 R-Square 0.1770
Dependent Mean 0.15427 Adj R-Sq 0.1611
Coeff Var 318.14186    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.11976 0.04839 2.47 0.0149 0
expdiff 1 0.08793 0.02290 3.84 0.0002 0.36956
avgpersonD 1 0.03225 0.02970 1.09 0.2802 0.10448


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=oldpeopleyoungpeople

Number of Observations Read 100
Number of Observations Used 91
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.32220 0.32220 2.60 0.1105
Error 89 11.03570 0.12400    
Corrected Total 90 11.35790      

Root MSE 0.35213 R-Square 0.0284
Dependent Mean 0.40503 Adj R-Sq 0.0175
Coeff Var 86.93862    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.39181 0.03781 10.36 <.0001 0
expdiff 1 0.03086 0.01915 1.61 0.1105 0.16843


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=oldpeopleyoungpeople

Number of Observations Read 100
Number of Observations Used 91
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.08714 0.08714 0.69 0.4090
Error 89 11.27076 0.12664    
Corrected Total 90 11.35790      

Root MSE 0.35586 R-Square 0.0077
Dependent Mean 0.40503 Adj R-Sq -0.0035
Coeff Var 87.85964    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.41333 0.03862 10.70 <.0001 0
avgpersonD 1 0.01478 0.01781 0.83 0.4090 0.08759


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=oldpeopleyoungpeople

Number of Observations Read 100
Number of Observations Used 91
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.32670 0.16335 1.30 0.2769
Error 88 11.03120 0.12535    
Corrected Total 90 11.35790      

Root MSE 0.35405 R-Square 0.0288
Dependent Mean 0.40503 Adj R-Sq 0.0067
Coeff Var 87.41339    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.39458 0.04075 9.68 <.0001 0
expdiff 1 0.02921 0.02113 1.38 0.1703 0.15942
avgpersonD 1 0.00368 0.01945 0.19 0.8503 0.02183


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=pantsskirts

Number of Observations Read 106
Number of Observations Used 96
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.08781 0.08781 0.54 0.4654
Error 94 15.36718 0.16348    
Corrected Total 95 15.45499      

Root MSE 0.40433 R-Square 0.0057
Dependent Mean 0.30081 Adj R-Sq -0.0049
Coeff Var 134.41401    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.29076 0.04348 6.69 <.0001 0
expdiff 1 -0.01398 0.01907 -0.73 0.4654 -0.07538


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=pantsskirts

Number of Observations Read 106
Number of Observations Used 96
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.51442 0.51442 3.24 0.0752
Error 94 14.94057 0.15894    
Corrected Total 95 15.45499      

Root MSE 0.39868 R-Square 0.0333
Dependent Mean 0.30081 Adj R-Sq 0.0230
Coeff Var 132.53514    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.26921 0.04432 6.07 <.0001 0
avgpersonD 1 -0.03932 0.02186 -1.80 0.0752 -0.18244


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=pantsskirts

Number of Observations Read 106
Number of Observations Used 96
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.51443 0.25722 1.60 0.2072
Error 93 14.94056 0.16065    
Corrected Total 95 15.45499      

Root MSE 0.40081 R-Square 0.0333
Dependent Mean 0.30081 Adj R-Sq 0.0125
Coeff Var 133.24575    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.26916 0.04510 5.97 <.0001 0
expdiff 1 -0.00014336 0.02073 -0.01 0.9945 -0.00077306
avgpersonD 1 -0.03925 0.02409 -1.63 0.1066 -0.18213


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=prochoiceprolife

Number of Observations Read 100
Number of Observations Used 89
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 9.38166 9.38166 61.47 <.0001
Error 87 13.27901 0.15263    
Corrected Total 88 22.66067      

Root MSE 0.39068 R-Square 0.4140
Dependent Mean 0.02453 Adj R-Sq 0.4073
Coeff Var 1592.40766    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.03472 0.04210 -0.82 0.4118 0
expdiff 1 0.06431 0.00820 7.84 <.0001 0.64343


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=prochoiceprolife

Number of Observations Read 100
Number of Observations Used 89
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.39723 1.39723 5.72 0.0190
Error 87 21.26344 0.24441    
Corrected Total 88 22.66067      

Root MSE 0.49438 R-Square 0.0617
Dependent Mean 0.02453 Adj R-Sq 0.0509
Coeff Var 2015.06089    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.07223 0.05607 1.29 0.2011 0
avgpersonD 1 0.04867 0.02035 2.39 0.0190 0.24831


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=prochoiceprolife

Number of Observations Read 100
Number of Observations Used 89
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 9.42156 4.71078 30.60 <.0001
Error 86 13.23912 0.15394    
Corrected Total 88 22.66067      

Root MSE 0.39236 R-Square 0.4158
Dependent Mean 0.02453 Adj R-Sq 0.4022
Coeff Var 1599.23131    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 -0.02487 0.04649 -0.54 0.5940 0
expdiff 1 0.06287 0.00871 7.22 <.0001 0.62905
avgpersonD 1 0.00869 0.01708 0.51 0.6120 0.04435


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=publicprivate

Number of Observations Read 78
Number of Observations Used 71
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.02506 2.02506 9.35 0.0032
Error 69 14.93782 0.21649    
Corrected Total 70 16.96288      

Root MSE 0.46529 R-Square 0.1194
Dependent Mean 0.31614 Adj R-Sq 0.1066
Coeff Var 147.17688    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.42369 0.06547 6.47 <.0001 0
expdiff 1 0.08678 0.02837 3.06 0.0032 0.34552


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=publicprivate

Number of Observations Read 78
Number of Observations Used 71
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.65187 0.65187 2.76 0.1013
Error 69 16.31102 0.23639    
Corrected Total 70 16.96288      

Root MSE 0.48620 R-Square 0.0384
Dependent Mean 0.31614 Adj R-Sq 0.0245
Coeff Var 153.79294    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.36573 0.06497 5.63 <.0001 0
avgpersonD 1 0.05999 0.03612 1.66 0.1013 0.19603


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=publicprivate

Number of Observations Read 78
Number of Observations Used 71
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.48867 1.24433 5.85 0.0045
Error 68 14.47421 0.21286    
Corrected Total 70 16.96288      

Root MSE 0.46136 R-Square 0.1467
Dependent Mean 0.31614 Adj R-Sq 0.1216
Coeff Var 145.93634    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.46099 0.06966 6.62 <.0001 0
expdiff 1 0.08299 0.02825 2.94 0.0045 0.33043
avgpersonD 1 0.05080 0.03442 1.48 0.1446 0.16601


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=reasonemotions

Number of Observations Read 92
Number of Observations Used 85
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.37746 0.37746 2.15 0.1462
Error 83 14.55970 0.17542    
Corrected Total 84 14.93716      

Root MSE 0.41883 R-Square 0.0253
Dependent Mean 0.30857 Adj R-Sq 0.0135
Coeff Var 135.73146    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31164 0.04548 6.85 <.0001 0
expdiff 1 0.03260 0.02222 1.47 0.1462 0.15896


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=reasonemotions

Number of Observations Read 92
Number of Observations Used 85
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.08358 0.08358 0.47 0.4963
Error 83 14.85358 0.17896    
Corrected Total 84 14.93716      

Root MSE 0.42304 R-Square 0.0056
Dependent Mean 0.30857 Adj R-Sq -0.0064
Coeff Var 137.09445    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31132 0.04606 6.76 <.0001 0
avgpersonD 1 0.01330 0.01947 0.68 0.4963 0.07480


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=reasonemotions

Number of Observations Read 92
Number of Observations Used 85
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.57970 0.28985 1.66 0.1973
Error 82 14.35745 0.17509    
Corrected Total 84 14.93716      

Root MSE 0.41844 R-Square 0.0388
Dependent Mean 0.30857 Adj R-Sq 0.0154
Coeff Var 135.60484    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31660 0.04567 6.93 <.0001 0
expdiff 1 0.03850 0.02287 1.68 0.0961 0.18774
avgpersonD 1 0.02132 0.01984 1.07 0.2856 0.11986


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=rebelliousconforming

Number of Observations Read 106
Number of Observations Used 93
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 5.08688 5.08688 25.88 <.0001
Error 91 17.88698 0.19656    
Corrected Total 92 22.97387      

Root MSE 0.44335 R-Square 0.2214
Dependent Mean 0.41652 Adj R-Sq 0.2129
Coeff Var 106.44123    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.45639 0.04664 9.79 <.0001 0
expdiff 1 0.06621 0.01302 5.09 <.0001 0.47055


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=rebelliousconforming

Number of Observations Read 106
Number of Observations Used 93
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.02507 0.02507 0.10 0.7533
Error 91 22.94880 0.25218    
Corrected Total 92 22.97387      

Root MSE 0.50218 R-Square 0.0011
Dependent Mean 0.41652 Adj R-Sq -0.0099
Coeff Var 120.56501    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.40200 0.06952 5.78 <.0001 0
avgpersonD 1 0.00584 0.01853 0.32 0.7533 0.03303


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=rebelliousconforming

Number of Observations Read 106
Number of Observations Used 93
Number of Observations with Missing Values 13

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 5.42287 2.71143 13.90 <.0001
Error 90 17.55100 0.19501    
Corrected Total 92 22.97387      

Root MSE 0.44160 R-Square 0.2360
Dependent Mean 0.41652 Adj R-Sq 0.2191
Coeff Var 106.02095    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.40423 0.06113 6.61 <.0001 0
expdiff 1 0.06937 0.01319 5.26 <.0001 0.49300
avgpersonD 1 0.02176 0.01658 1.31 0.1927 0.12300


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=religionatheism

Number of Observations Read 118
Number of Observations Used 101
Number of Observations with Missing Values 17

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 7.82849 7.82849 51.03 <.0001
Error 99 15.18817 0.15342    
Corrected Total 100 23.01666      

Root MSE 0.39168 R-Square 0.3401
Dependent Mean 0.45169 Adj R-Sq 0.3335
Coeff Var 86.71522    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.40383 0.03955 10.21 <.0001 0
expdiff 1 0.06118 0.00857 7.14 <.0001 0.58320


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=religionatheism

Number of Observations Read 118
Number of Observations Used 101
Number of Observations with Missing Values 17

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.49112 0.49112 2.16 0.1450
Error 99 22.52555 0.22753    
Corrected Total 100 23.01666      

Root MSE 0.47700 R-Square 0.0213
Dependent Mean 0.45169 Adj R-Sq 0.0115
Coeff Var 105.60396    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.51571 0.06443 8.00 <.0001 0
avgpersonD 1 -0.02743 0.01867 -1.47 0.1450 -0.14607


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=religionatheism

Number of Observations Read 118
Number of Observations Used 101
Number of Observations with Missing Values 17

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 7.90639 3.95320 25.64 <.0001
Error 98 15.11027 0.15419    
Corrected Total 100 23.01666      

Root MSE 0.39267 R-Square 0.3435
Dependent Mean 0.45169 Adj R-Sq 0.3301
Coeff Var 86.93272    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.43036 0.05445 7.90 <.0001 0
expdiff 1 0.06025 0.00869 6.93 <.0001 0.57426
avgpersonD 1 -0.01105 0.01555 -0.71 0.4789 -0.05886


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=richpeoplepoorpeople

Number of Observations Read 122
Number of Observations Used 111
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.20855 0.20855 2.02 0.1585
Error 109 11.27627 0.10345    
Corrected Total 110 11.48482      

Root MSE 0.32164 R-Square 0.0182
Dependent Mean 0.80687 Adj R-Sq 0.0092
Coeff Var 39.86284    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.81851 0.03161 25.89 <.0001 0
expdiff 1 0.02020 0.01423 1.42 0.1585 0.13475


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=richpeoplepoorpeople

Number of Observations Read 122
Number of Observations Used 111
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.01148 0.01148 0.11 0.7418
Error 109 11.47334 0.10526    
Corrected Total 110 11.48482      

Root MSE 0.32444 R-Square 0.0010
Dependent Mean 0.80687 Adj R-Sq -0.0082
Coeff Var 40.20966    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.80252 0.03349 23.96 <.0001 0
avgpersonD 1 0.00336 0.01017 0.33 0.7418 0.03162


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=richpeoplepoorpeople

Number of Observations Read 122
Number of Observations Used 111
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.22149 0.11075 1.06 0.3494
Error 108 11.26333 0.10429    
Corrected Total 110 11.48482      

Root MSE 0.32294 R-Square 0.0193
Dependent Mean 0.80687 Adj R-Sq 0.0011
Coeff Var 40.02397    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.81394 0.03429 23.74 <.0001 0
expdiff 1 0.02027 0.01429 1.42 0.1588 0.13524
avgpersonD 1 0.00357 0.01013 0.35 0.7253 0.03358


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=simpledifficult

Number of Observations Read 107
Number of Observations Used 97
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.85407 1.85407 9.88 0.0022
Error 95 17.82846 0.18767    
Corrected Total 96 19.68253      

Root MSE 0.43321 R-Square 0.0942
Dependent Mean 0.72110 Adj R-Sq 0.0847
Coeff Var 60.07589    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.66219 0.04781 13.85 <.0001 0
expdiff 1 0.04762 0.01515 3.14 0.0022 0.30692


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=simpledifficult

Number of Observations Read 107
Number of Observations Used 97
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.23288 0.23288 1.14 0.2889
Error 95 19.44965 0.20473    
Corrected Total 96 19.68253      

Root MSE 0.45247 R-Square 0.0118
Dependent Mean 0.72110 Adj R-Sq 0.0014
Coeff Var 62.74789    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.67218 0.06492 10.35 <.0001 0
avgpersonD 1 0.02042 0.01914 1.07 0.2889 0.10877


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=simpledifficult

Number of Observations Read 107
Number of Observations Used 97
Number of Observations with Missing Values 10

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.89424 0.94712 5.00 0.0086
Error 94 17.78830 0.18924    
Corrected Total 96 19.68253      

Root MSE 0.43501 R-Square 0.0962
Dependent Mean 0.72110 Adj R-Sq 0.0770
Coeff Var 60.32652    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.64327 0.06317 10.18 <.0001 0
expdiff 1 0.04611 0.01556 2.96 0.0039 0.29719
avgpersonD 1 0.00867 0.01883 0.46 0.6461 0.04621


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=summerwinter

Number of Observations Read 108
Number of Observations Used 99
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 5.63925 5.63925 27.69 <.0001
Error 97 19.75531 0.20366    
Corrected Total 98 25.39456      

Root MSE 0.45129 R-Square 0.2221
Dependent Mean 0.46697 Adj R-Sq 0.2140
Coeff Var 96.64149    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.33321 0.05199 6.41 <.0001 0
expdiff 1 0.07120 0.01353 5.26 <.0001 0.47124


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=summerwinter

Number of Observations Read 108
Number of Observations Used 99
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.49684 0.49684 1.94 0.1673
Error 97 24.89772 0.25668    
Corrected Total 98 25.39456      

Root MSE 0.50663 R-Square 0.0196
Dependent Mean 0.46697 Adj R-Sq 0.0095
Coeff Var 108.49295    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.38106 0.08004 4.76 <.0001 0
avgpersonD 1 0.02947 0.02118 1.39 0.1673 0.13987


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=summerwinter

Number of Observations Read 108
Number of Observations Used 99
Number of Observations with Missing Values 9

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 5.65730 2.82865 13.76 <.0001
Error 96 19.73727 0.20560    
Corrected Total 98 25.39456      

Root MSE 0.45343 R-Square 0.2228
Dependent Mean 0.46697 Adj R-Sq 0.2066
Coeff Var 97.09915    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31822 0.07272 4.38 <.0001 0
expdiff 1 0.07019 0.01401 5.01 <.0001 0.46459
avgpersonD 1 0.00579 0.01954 0.30 0.7677 0.02747


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=tallpeopleshortpeople

Number of Observations Read 115
Number of Observations Used 100
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.53437 0.53437 2.15 0.1456
Error 98 24.34215 0.24839    
Corrected Total 99 24.87652      

Root MSE 0.49839 R-Square 0.0215
Dependent Mean 0.02173 Adj R-Sq 0.0115
Coeff Var 2293.35377    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.02502 0.04989 0.50 0.6171 0
expdiff 1 0.05485 0.03739 1.47 0.1456 0.14656


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=tallpeopleshortpeople

Number of Observations Read 115
Number of Observations Used 100
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.15755 0.15755 0.62 0.4312
Error 98 24.71897 0.25223    
Corrected Total 99 24.87652      

Root MSE 0.50223 R-Square 0.0063
Dependent Mean 0.02173 Adj R-Sq -0.0038
Coeff Var 2311.03648    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.05843 0.06840 0.85 0.3950 0
avgpersonD 1 0.02483 0.03141 0.79 0.4312 0.07958


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=tallpeopleshortpeople

Number of Observations Read 115
Number of Observations Used 100
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.72492 0.36246 1.46 0.2383
Error 97 24.15160 0.24899    
Corrected Total 99 24.87652      

Root MSE 0.49898 R-Square 0.0291
Dependent Mean 0.02173 Adj R-Sq 0.0091
Coeff Var 2296.10497    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.06554 0.06812 0.96 0.3384 0
expdiff 1 0.05660 0.03749 1.51 0.1344 0.15124
avgpersonD 1 0.02734 0.03125 0.87 0.3838 0.08764


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=taxreductionssocialprograms

Number of Observations Read 97
Number of Observations Used 91
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 2.44286 2.44286 19.45 <.0001
Error 89 11.17697 0.12558    
Corrected Total 90 13.61983      

Root MSE 0.35438 R-Square 0.1794
Dependent Mean 0.31857 Adj R-Sq 0.1701
Coeff Var 111.24072    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.27742 0.03830 7.24 <.0001 0
expdiff 1 0.05061 0.01147 4.41 <.0001 0.42351


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=taxreductionssocialprograms

Number of Observations Read 97
Number of Observations Used 91
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.23598 0.23598 1.57 0.2136
Error 89 13.38385 0.15038    
Corrected Total 90 13.61983      

Root MSE 0.38779 R-Square 0.0173
Dependent Mean 0.31857 Adj R-Sq 0.0063
Coeff Var 121.72849    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.27908 0.05144 5.43 <.0001 0
avgpersonD 1 -0.02460 0.01964 -1.25 0.2136 -0.13163


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=taxreductionssocialprograms

Number of Observations Read 97
Number of Observations Used 91
Number of Observations with Missing Values 6

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 2.59393 1.29697 10.35 <.0001
Error 88 11.02590 0.12529    
Corrected Total 90 13.61983      

Root MSE 0.35397 R-Square 0.1905
Dependent Mean 0.31857 Adj R-Sq 0.1721
Coeff Var 111.11235    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.24640 0.04756 5.18 <.0001 0
expdiff 1 0.04982 0.01148 4.34 <.0001 0.41690
avgpersonD 1 -0.01972 0.01796 -1.10 0.2752 -0.10553


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=thinpeoplefatpeople

Number of Observations Read 122
Number of Observations Used 114
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.33157 1.33157 7.96 0.0057
Error 112 18.73090 0.16724    
Corrected Total 113 20.06247      

Root MSE 0.40895 R-Square 0.0664
Dependent Mean 0.34795 Adj R-Sq 0.0580
Coeff Var 117.53264    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.29955 0.04197 7.14 <.0001 0
expdiff 1 0.05305 0.01880 2.82 0.0057 0.25763


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=thinpeoplefatpeople

Number of Observations Read 122
Number of Observations Used 114
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.25059 0.25059 1.42 0.2365
Error 112 19.81188 0.17689    
Corrected Total 113 20.06247      

Root MSE 0.42059 R-Square 0.0125
Dependent Mean 0.34795 Adj R-Sq 0.0037
Coeff Var 120.87654    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.29308 0.06064 4.83 <.0001 0
avgpersonD 1 0.01882 0.01581 1.19 0.2365 0.11176


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=thinpeoplefatpeople

Number of Observations Read 122
Number of Observations Used 114
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.40150 0.70075 4.17 0.0180
Error 111 18.66097 0.16812    
Corrected Total 113 20.06247      

Root MSE 0.41002 R-Square 0.0699
Dependent Mean 0.34795 Adj R-Sq 0.0531
Coeff Var 117.84029    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.27228 0.05965 4.57 <.0001 0
expdiff 1 0.05044 0.01928 2.62 0.0101 0.24496
avgpersonD 1 0.01017 0.01577 0.64 0.5203 0.06038


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=tomcruisedenzelwashington

Number of Observations Read 108
Number of Observations Used 101
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.47980 0.47980 4.47 0.0370
Error 99 10.62761 0.10735    
Corrected Total 100 11.10741      

Root MSE 0.32764 R-Square 0.0432
Dependent Mean 0.14688 Adj R-Sq 0.0335
Coeff Var 223.07533    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.19026 0.03852 4.94 <.0001 0
expdiff 1 0.04134 0.01955 2.11 0.0370 0.20784


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=tomcruisedenzelwashington

Number of Observations Read 108
Number of Observations Used 101
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.02106 0.02106 0.19 0.6655
Error 99 11.08635 0.11198    
Corrected Total 100 11.10741      

Root MSE 0.33464 R-Square 0.0019
Dependent Mean 0.14688 Adj R-Sq -0.0082
Coeff Var 227.83901    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.14138 0.03563 3.97 0.0001 0
avgpersonD 1 -0.01042 0.02404 -0.43 0.6655 -0.04354


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=tomcruisedenzelwashington

Number of Observations Read 108
Number of Observations Used 101
Number of Observations with Missing Values 7

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.62913 0.31456 2.94 0.0574
Error 98 10.47828 0.10692    
Corrected Total 100 11.10741      

Root MSE 0.32699 R-Square 0.0566
Dependent Mean 0.14688 Adj R-Sq 0.0374
Coeff Var 222.62982    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.18297 0.03894 4.70 <.0001 0
expdiff 1 0.04911 0.02059 2.38 0.0190 0.24689
avgpersonD 1 -0.02929 0.02478 -1.18 0.2402 -0.12235


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=usajapan

Number of Observations Read 116
Number of Observations Used 105
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.92252 0.92252 8.49 0.0044
Error 103 11.19415 0.10868    
Corrected Total 104 12.11667      

Root MSE 0.32967 R-Square 0.0761
Dependent Mean 0.42010 Adj R-Sq 0.0672
Coeff Var 78.47458    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.38055 0.03492 10.90 <.0001 0
expdiff 1 0.03809 0.01307 2.91 0.0044 0.27593


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=usajapan

Number of Observations Read 116
Number of Observations Used 105
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.46277 0.46277 4.09 0.0457
Error 103 11.65390 0.11314    
Corrected Total 104 12.11667      

Root MSE 0.33637 R-Square 0.0382
Dependent Mean 0.42010 Adj R-Sq 0.0289
Coeff Var 80.06987    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.39707 0.03474 11.43 <.0001 0
avgpersonD 1 0.02875 0.01421 2.02 0.0457 0.19543


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=usajapan

Number of Observations Read 116
Number of Observations Used 105
Number of Observations with Missing Values 11

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 0.99000 0.49500 4.54 0.0129
Error 102 11.12667 0.10908    
Corrected Total 104 12.11667      

Root MSE 0.33028 R-Square 0.0817
Dependent Mean 0.42010 Adj R-Sq 0.0637
Coeff Var 78.62027    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.37628 0.03540 10.63 <.0001 0
expdiff 1 0.03261 0.01483 2.20 0.0302 0.23625
avgpersonD 1 0.01243 0.01581 0.79 0.4334 0.08452


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=vegetablesmeat

Number of Observations Read 124
Number of Observations Used 116
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 3.65243 3.65243 25.61 <.0001
Error 114 16.25546 0.14259    
Corrected Total 115 19.90789      

Root MSE 0.37761 R-Square 0.1835
Dependent Mean 0.38204 Adj R-Sq 0.1763
Coeff Var 98.84084    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.31544 0.03745 8.42 <.0001 0
expdiff 1 0.05558 0.01098 5.06 <.0001 0.42833


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=vegetablesmeat

Number of Observations Read 124
Number of Observations Used 116
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.06978 0.06978 0.40 0.5278
Error 114 19.83811 0.17402    
Corrected Total 115 19.90789      

Root MSE 0.41716 R-Square 0.0035
Dependent Mean 0.38204 Adj R-Sq -0.0052
Coeff Var 109.19104    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.36298 0.04906 7.40 <.0001 0
avgpersonD 1 -0.01212 0.01914 -0.63 0.5278 -0.05920


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=vegetablesmeat

Number of Observations Read 124
Number of Observations Used 116
Number of Observations with Missing Values 8

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 3.66300 1.83150 12.74 <.0001
Error 113 16.24489 0.14376    
Corrected Total 115 19.90789      

Root MSE 0.37916 R-Square 0.1840
Dependent Mean 0.38204 Adj R-Sq 0.1696
Coeff Var 99.24495    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.30830 0.04591 6.72 <.0001 0
expdiff 1 0.05532 0.01107 5.00 <.0001 0.42637
avgpersonD 1 -0.00473 0.01746 -0.27 0.7868 -0.02312


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL1
Dependent Variable: IAT

STDYNAME=yankeesdiamondbacks

Number of Observations Read 103
Number of Observations Used 88
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 1.65627 1.65627 14.02 0.0003
Error 86 10.16082 0.11815    
Corrected Total 87 11.81709      

Root MSE 0.34373 R-Square 0.1402
Dependent Mean 0.12352 Adj R-Sq 0.1302
Coeff Var 278.27762    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.11886 0.03666 3.24 0.0017 0
expdiff 1 0.05859 0.01565 3.74 0.0003 0.37438


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL2
Dependent Variable: IAT

STDYNAME=yankeesdiamondbacks

Number of Observations Read 103
Number of Observations Used 88
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 1 0.33046 0.33046 2.47 0.1194
Error 86 11.48663 0.13357    
Corrected Total 87 11.81709      

Root MSE 0.36547 R-Square 0.0280
Dependent Mean 0.12352 Adj R-Sq 0.0167
Coeff Var 295.87633    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.13021 0.03919 3.32 0.0013 0
avgpersonD 1 0.02974 0.01890 1.57 0.1194 0.16723


DATA = Study 6 - 58 Topics

The REG Procedure
Model: MODEL3
Dependent Variable: IAT

STDYNAME=yankeesdiamondbacks

Number of Observations Read 103
Number of Observations Used 88
Number of Observations with Missing Values 15

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 2 1.74884 0.87442 7.38 0.0011
Error 85 10.06825 0.11845    
Corrected Total 87 11.81709      

Root MSE 0.34417 R-Square 0.1480
Dependent Mean 0.12352 Adj R-Sq 0.1279
Coeff Var 278.63181    

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t| Standardized
Estimate
Intercept 1 0.12273 0.03697 3.32 0.0013 0
expdiff 1 0.05553 0.01605 3.46 0.0008 0.35481
avgpersonD 1 0.01612 0.01823 0.88 0.3792 0.09064