DATA = GenderScience

The MEANS Procedure

Analysis Variable : IAT
Igroup N Obs N Mean Std Dev Minimum Maximum
-10.5 13 13 -1.6081457 0.1060591 -1.8079786 -1.5090838
-9.5 8 8 -1.4514939 0.0249706 -1.4930724 -1.4225699
-8.5 35 35 -1.2544463 0.0391772 -1.3396013 -1.2036457
-7.5 130 130 -1.1145178 0.0432083 -1.1994444 -1.0504692
-6.5 368 368 -0.9640183 0.0417908 -1.0490366 -0.9005011
-5.5 906 906 -0.8120102 0.0416472 -0.8999619 -0.7500906
-4.5 2150 2150 -0.6662784 0.0425927 -0.7499850 -0.6000019
-3.5 4510 4510 -0.5163188 0.0427047 -0.5998883 -0.4500222
-2.5 8402 8402 -0.3676150 0.0429636 -0.4499836 -0.3000081
-1.5 14491 14491 -0.2180509 0.0427149 -0.2999828 -0.1500066
-0.5 22267 22267 -0.0701419 0.0431512 -0.1499999 -1.594802E-6
0.5 31329 31329 0.0786301 0.0431567 3.627741E-6 0.1499997
1.5 38792 38792 0.2267902 0.0431750 0.1500016 0.2999946
2.5 43001 43001 0.3756322 0.0431225 0.3000002 0.4499967
3.5 41927 41927 0.5242020 0.0432889 0.4500025 0.5999994
4.5 36440 36440 0.6725242 0.0430220 0.6000038 0.7499963
5.5 26996 26996 0.8204320 0.0429189 0.7500043 0.8999845
6.5 16436 16436 0.9670149 0.0426445 0.9000004 1.0499973
7.5 7738 7738 1.1135526 0.0419134 1.0500011 1.1999858
8.5 2700 2700 1.2588806 0.0415145 1.2000185 1.3498601
9.5 600 600 1.4003875 0.0391610 1.3500366 1.4989199
10.5 59 59 1.5451305 0.0404599 1.5000758 1.6663049


DATA = GenderScience

The CORR Procedure

4 Variables: IATa IATb IATc IATd

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IATa 299270 0.44614 0.53901 133515 -1.84455 1.82666
IATb 299298 0.36033 0.52559 107845 -1.83827 1.94354
IATc 299236 0.33612 0.55203 100580 -1.89901 2.01345
IATd 298960 0.30255 0.54959 90451 -2.45932 3.15673

Cronbach Coefficient Alpha
Variables Alpha
Raw 0.725538
Standardized 0.726054

Cronbach Coefficient Alpha with Deleted Variable
Deleted
Variable		 Raw Variables Standardized Variables
Correlation
with Total		 Alpha Correlation
with Total		 Alpha
IATa 0.505359 0.669952 0.506745 0.670100
IATb 0.547061 0.646087 0.547475 0.645943
IATc 0.526924 0.657197 0.526936 0.658203
IATd 0.479982 0.685093 0.479494 0.685914

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IATa IATb IATc IATd
IATa
1.00000
 
299270
0.45748
<.0001
299270
0.37932
<.0001
299208
0.34321
<.0001
298932
IATb
0.45748
<.0001
299270
1.00000
 
299298
0.42704
<.0001
299236
0.37217
<.0001
298960
IATc
0.37932
<.0001
299208
0.42704
<.0001
299236
1.00000
 
299236
0.41196
<.0001
298943
IATd
0.34321
<.0001
298932
0.37217
<.0001
298960
0.41196
<.0001
298943
1.00000
 
298960


DATA = GenderScience

The CORR Procedure

gender=.

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 48962 0.32596 0.39931 15960 -1.80667 1.54412
att5 4028 0.47468 0.70481 1912 -2.00000 2.00000
att9 2810 0.37260 1.14005 1047 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
48962
0.22105
<.0001
2726
0.11092
<.0001
1521
att5
0.22105
<.0001
2726
1.00000
 
4028
.
.
0
att9
0.11092
<.0001
1521
.
.
0
1.00000
 
2810


DATA = GenderScience

The CORR Procedure

gender=f

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 168935 0.39205 0.40284 66232 -1.80798 1.66630
att5 89376 0.48444 0.62863 43297 -2.00000 2.00000
att9 47285 0.55140 1.12718 26073 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
168935
0.21607
<.0001
69847
0.16951
<.0001
31848
att5
0.21607
<.0001
69847
1.00000
 
89376
.
.
0
att9
0.16951
<.0001
31848
.
.
0
1.00000
 
47285


DATA = GenderScience

The CORR Procedure

gender=m

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 81401 0.36625 0.40774 29813 -1.54038 1.63513
att5 45778 0.59614 0.69456 27290 -2.00000 2.00000
att9 25765 0.69389 1.23306 17878 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
81401
0.22399
<.0001
33722
0.21971
<.0001
15825
att5
0.22399
<.0001
33722
1.00000
 
45778
.
.
0
att9
0.21971
<.0001
15825
.
.
0
1.00000
 
25765


DATA = GenderScience

The MEANS Procedure

Analysis Variable : IAT
ethnicF N Obs N Mean Std Dev Minimum Maximum
1 2854 2112 0.3558853 0.3914071 -1.0910201 1.3248990
2 21667 16404 0.3546138 0.4092582 -1.5294334 1.5136353
3 13552 10174 0.3350514 0.4321493 -1.2783593 1.6030073
4 14711 11245 0.3372913 0.4045696 -1.2244599 1.5227297
5 238217 186473 0.3943389 0.4015802 -1.6593593 1.6663049
6 12117 8630 0.3680355 0.4113822 -1.8079786 1.6367573
7 12622 9601 0.3528747 0.4036982 -1.4524710 1.5075923


DATA = GenderScience

The CORR Procedure

ethnicF=.

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 54659 0.33182 0.40132 18137 -1.80667 1.54412
att5 7606 0.48120 0.68215 3660 -2.00000 2.00000
att9 6344 0.47667 1.17213 3024 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
54659
0.20902
<.0001
5173
0.15377
<.0001
3609
att5
0.20902
<.0001
5173
1.00000
 
7606
.
.
0
att9
0.15377
<.0001
3609
.
.
0
1.00000
 
6344


DATA = GenderScience

The CORR Procedure

ethnicF=1

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 2112 0.35589 0.39141 751.62979 -1.09102 1.32490
att5 967 0.44778 0.72024 433.00000 -2.00000 2.00000
att9 635 0.49764 1.26886 316.00000 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
2112
0.25652
<.0001
720
0.13270
0.0090
386
att5
0.25652
<.0001
720
1.00000
 
967
.
.
0
att9
0.13270
0.0090
386
.
.
0
1.00000
 
635


DATA = GenderScience

The CORR Procedure

ethnicF=2

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 16404 0.35461 0.40926 5817 -1.52943 1.51364
att5 10060 0.57356 0.67687 5770 -2.00000 2.00000
att9 3700 0.68595 1.25984 2538 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
16404
0.21285
<.0001
7613
0.18710
<.0001
2203
att5
0.21285
<.0001
7613
1.00000
 
10060
.
.
0
att9
0.18710
<.0001
2203
.
.
0
1.00000
 
3700


DATA = GenderScience

The CORR Procedure

ethnicF=3

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 10174 0.33505 0.43215 3409 -1.27836 1.60301
att5 5586 0.50609 0.74313 2827 -2.00000 2.00000
att9 2728 0.61107 1.37695 1667 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
10174
0.18239
<.0001
4185
0.18115
<.0001
1708
att5
0.18239
<.0001
4185
1.00000
 
5586
.
.
0
att9
0.18115
<.0001
1708
.
.
0
1.00000
 
2728


DATA = GenderScience

The CORR Procedure

ethnicF=4

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 11245 0.33729 0.40457 3793 -1.22446 1.52273
att5 5688 0.49051 0.71058 2790 -2.00000 2.00000
att9 3303 0.59885 1.24686 1978 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
11245
0.18945
<.0001
4350
0.15599
<.0001
2089
att5
0.18945
<.0001
4350
1.00000
 
5688
.
.
0
att9
0.15599
<.0001
2089
.
.
0
1.00000
 
3303


DATA = GenderScience

The CORR Procedure

ethnicF=5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 186473 0.39434 0.40158 73534 -1.65936 1.66630
att5 98976 0.52944 0.64068 52402 -2.00000 2.00000
att9 52988 0.60859 1.14095 32248 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
186473
0.22469
<.0001
76637
0.18515
<.0001
35355
att5
0.22469
<.0001
76637
1.00000
 
98976
.
.
0
att9
0.18515
<.0001
35355
.
.
0
1.00000
 
52988


DATA = GenderScience

The CORR Procedure

ethnicF=6

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 8630 0.36804 0.41138 3176 -1.80798 1.63676
att5 5598 0.43730 0.65367 2448 -2.00000 2.00000
att9 2856 0.52241 1.17662 1492 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
8630
0.19497
<.0001
4015
0.18007
<.0001
1675
att5
0.19497
<.0001
4015
1.00000
 
5598
.
.
0
att9
0.18007
<.0001
1675
.
.
0
1.00000
 
2856


DATA = GenderScience

The CORR Procedure

ethnicF=7

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 9601 0.35287 0.40370 3388 -1.45247 1.50759
att5 4701 0.46139 0.66079 2169 -2.00000 2.00000
att9 3306 0.52480 1.15047 1735 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
9601
0.20734
<.0001
3602
0.17342
<.0001
2169
att5
0.20734
<.0001
3602
1.00000
 
4701
.
.
0
att9
0.17342
<.0001
2169
.
.
0
1.00000
 
3306


DATA = GenderScience

The CORR Procedure

ageGP=.

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 51050 0.32903 0.40082 16797 -1.80667 1.54412
att5 5498 0.47836 0.70729 2630 -2.00000 2.00000
att9 4573 0.45331 1.17900 2073 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
51050
0.22396
<.0001
3677
0.13559
<.0001
2494
att5
0.22396
<.0001
3677
1.00000
 
5498
.
.
0
att9
0.13559
<.0001
2494
.
.
0
1.00000
 
4573


DATA = GenderScience

The CORR Procedure

ageGP=0

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 40 0.20410 0.42399 8.16385 -0.63622 1.08714
att5 23 0.56522 1.03687 13.00000 -2.00000 2.00000
att9 20 0.25000 1.61815 5.00000 -2.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
40
-0.44156
0.1309
13
0.16537
0.6707
9
att5
-0.44156
0.1309
13
1.00000
 
23
.
.
0
att9
0.16537
0.6707
9
.
.
0
1.00000
 
20


DATA = GenderScience

The CORR Procedure

ageGP=1

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 74736 0.35457 0.39528 26499 -1.57786 1.63676
att5 43676 0.50911 0.68165 22236 -2.00000 2.00000
att9 26503 0.57831 1.17984 15327 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
74736
0.22395
<.0001
31586
0.18361
<.0001
16489
att5
0.22395
<.0001
31586
1.00000
 
43676
.
.
0
att9
0.18361
<.0001
16489
.
.
0
1.00000
 
26503


DATA = GenderScience

The CORR Procedure

ageGP=2

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 107203 0.38108 0.40528 40853 -1.80798 1.66630
att5 60942 0.52113 0.63323 31759 -2.00000 2.00000
att9 26040 0.65445 1.18273 17042 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
107203
0.21490
<.0001
48192
0.18501
<.0001
17965
att5
0.21490
<.0001
48192
1.00000
 
60942
.
.
0
att9
0.18501
<.0001
17965
.
.
0
1.00000
 
26040


DATA = GenderScience

The CORR Procedure

ageGP=3

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 33384 0.39332 0.40839 13130 -1.42459 1.60754
att5 14963 0.53993 0.64719 8079 -2.00000 2.00000
att9 9499 0.61080 1.14344 5802 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
33384
0.21724
<.0001
11802
0.18420
<.0001
6445
att5
0.21724
<.0001
11802
1.00000
 
14963
.
.
0
att9
0.18420
<.0001
6445
.
.
0
1.00000
 
9499


DATA = GenderScience

The CORR Procedure

ageGP=4

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 19691 0.42739 0.41207 8416 -1.54038 1.57386
att5 8789 0.54454 0.65183 4786 -2.00000 2.00000
att9 5737 0.53164 1.10821 3050 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
19691
0.19197
<.0001
6877
0.20089
<.0001
3740
att5
0.19197
<.0001
6877
1.00000
 
8789
.
.
0
att9
0.20089
<.0001
3740
.
.
0
1.00000
 
5737


DATA = GenderScience

The CORR Procedure

ageGP=5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 10677 0.46730 0.40770 4989 -1.65936 1.60301
att5 4398 0.55684 0.64500 2449 -2.00000 2.00000
att9 2918 0.47910 1.05395 1398 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
10677
0.19346
<.0001
3484
0.15933
<.0001
1759
att5
0.19346
<.0001
3484
1.00000
 
4398
.
.
0
att9
0.15933
<.0001
1759
.
.
0
1.00000
 
2918


DATA = GenderScience

The CORR Procedure

ageGP=6

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 2517 0.52106 0.39554 1312 -1.30534 1.63497
att5 893 0.61254 0.68286 547.00000 -2.00000 2.00000
att9 570 0.52807 1.10602 301.00000 -3.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
2517
0.18773
<.0001
664
0.14923
0.0105
293
att5
0.18773
<.0001
664
1.00000
 
893
.
.
0
att9
0.14923
0.0105
293
.
.
0
1.00000
 
570


DATA = GenderScience

The MEANS Procedure

Analysis Variable : IAT
pol6 N Obs N Mean Std Dev Minimum Maximum
-2.5 16576 14129 0.3532777 0.3958994 -1.1842053 1.4913759
-1.5 26054 22596 0.3564438 0.3882402 -1.2949437 1.6030073
-0.5 31611 27204 0.3481382 0.3881540 -1.6593593 1.5420991
0.5 28418 24322 0.3480398 0.3823250 -1.4469491 1.6235074
1.5 9679 8256 0.3770551 0.3845779 -1.1799247 1.4917612
2.5 4528 3734 0.3676058 0.3918953 -1.1530579 1.4297462


DATA = GenderScience

The MEANS Procedure

Analysis Variable : IAT
pol7 N Obs N Mean Std Dev Minimum Maximum
-3 5258 3457 0.3807833 0.3987094 -1.0130674 1.5632546
-2 8675 5771 0.3836881 0.3974121 -1.1863022 1.5128294
-1 4990 3351 0.3882282 0.3875054 -1.1425288 1.4751423
0 13638 8551 0.3191195 0.3904721 -1.4524710 1.4343151
1 3724 2412 0.3918674 0.3990097 -1.5910445 1.4410540
2 3525 2253 0.3874646 0.3911017 -1.1906560 1.4683948
3 1224 714 0.3734491 0.4053519 -0.9853440 1.3652220


DATA = GenderScience

The MEANS Procedure

Analysis Variable : att5
pol6 N Obs N Mean Std Dev Minimum Maximum
-2.5 16576 902 0.4988914 0.6524086 -2.0000000 2.0000000
-1.5 26054 1600 0.5375000 0.5990142 -2.0000000 2.0000000
-0.5 31611 2310 0.5779221 0.6289790 -2.0000000 2.0000000
0.5 28418 2160 0.5731481 0.6515178 -2.0000000 2.0000000
1.5 9679 679 0.6774669 0.6384500 -2.0000000 2.0000000
2.5 4528 264 0.6136364 0.7516545 -2.0000000 2.0000000


DATA = GenderScience

The MEANS Procedure

Analysis Variable : att9
pol7 N Obs N Mean Std Dev Minimum Maximum
-3 5258 5222 0.4477212 1.0348484 -4.0000000 4.0000000
-2 8675 8617 0.5899965 1.0910530 -4.0000000 4.0000000
-1 4990 4955 0.6738648 1.1685702 -4.0000000 4.0000000
0 13638 13520 0.5688609 1.1911691 -4.0000000 4.0000000
1 3724 3686 0.7471514 1.2263884 -4.0000000 4.0000000
2 3525 3500 0.9354286 1.3502624 -4.0000000 4.0000000
3 1224 1209 0.9975186 1.5528740 -4.0000000 4.0000000


DATA = GenderScience

The CORR Procedure

pol6=.

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 199057 0.38450 0.41200 76538 -1.80798 1.66630
att5 131267 0.51798 0.65631 67994 -2.00000 2.00000
att9 75860 0.59317 1.16739 44998 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
199057
0.21848
<.0001
99497
0.18025
<.0001
49194
att5
0.21848
<.0001
99497
1.00000
 
131267
.
.
0
att9
0.18025
<.0001
49194
.
.
0
1.00000
 
75860


DATA = GenderScience

The CORR Procedure

pol6=-2.5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 14129 0.35328 0.39590 4991 -1.18421 1.49138
att5 902 0.49889 0.65241 450.00000 -2.00000 2.00000
att9 0 . . . . .

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
14129
0.21397
<.0001
769
.
.
0
att5
0.21397
<.0001
769
1.00000
 
902
.
.
0
att9
.
.
0
.
.
0
.
.
0


DATA = GenderScience

The CORR Procedure

pol6=-1.5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 22596 0.35644 0.38824 8054 -1.29494 1.60301
att5 1600 0.53750 0.59901 860.00000 -2.00000 2.00000
att9 0 . . . . .

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
22596
0.20996
<.0001
1401
.
.
0
att5
0.20996
<.0001
1401
1.00000
 
1600
.
.
0
att9
.
.
0
.
.
0
.
.
0


DATA = GenderScience

The CORR Procedure

pol6=-0.5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 27204 0.34814 0.38815 9471 -1.65936 1.54210
att5 2310 0.57792 0.62898 1335 -2.00000 2.00000
att9 0 . . . . .

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
27204
0.25091
<.0001
1969
.
.
0
att5
0.25091
<.0001
1969
1.00000
 
2310
.
.
0
att9
.
.
0
.
.
0
.
.
0


DATA = GenderScience

The CORR Procedure

pol6=0.5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 24322 0.34804 0.38233 8465 -1.44695 1.62351
att5 2160 0.57315 0.65152 1238 -2.00000 2.00000
att9 0 . . . . .

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
24322
0.18742
<.0001
1857
.
.
0
att5
0.18742
<.0001
1857
1.00000
 
2160
.
.
0
att9
.
.
0
.
.
0
.
.
0


DATA = GenderScience

The CORR Procedure

pol6=1.5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 8256 0.37706 0.38458 3113 -1.17992 1.49176
att5 679 0.67747 0.63845 460.00000 -2.00000 2.00000
att9 0 . . . . .

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
8256
0.20619
<.0001
580
.
.
0
att5
0.20619
<.0001
580
1.00000
 
679
.
.
0
att9
.
.
0
.
.
0
.
.
0


DATA = GenderScience

The CORR Procedure

pol6=2.5

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 3734 0.36761 0.39190 1373 -1.15306 1.42975
att5 264 0.61364 0.75165 162.00000 -2.00000 2.00000
att9 0 . . . . .

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
3734
0.19146
0.0042
222
.
.
0
att5
0.19146
0.0042
222
1.00000
 
264
.
.
0
att9
.
.
0
.
.
0
.
.
0


DATA = GenderScience

The CORR Procedure

pol7=.

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 272789 0.37523 0.40519 102360 -1.80798 1.66630
att5 139182 0.52089 0.65542 72499 -2.00000 2.00000
att9 35151 0.54940 1.14196 19312 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
272789
0.21735
<.0001
106295
0.18248
<.0001
22864
att5
0.21735
<.0001
106295
1.00000
 
139182
.
.
0
att9
0.18248
<.0001
22864
.
.
0
1.00000
 
35151


DATA = GenderScience

The CORR Procedure

pol7=-3

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 3457 0.38078 0.39871 1316 -1.01307 1.56325
att5 0 . . . . .
att9 5222 0.44772 1.03485 2338 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
3457
.
.
0
0.18452
<.0001
3437
att5
.
.
0
.
.
0
.
.
0
att9
0.18452
<.0001
3437
.
.
0
1.00000
 
5222


DATA = GenderScience

The CORR Procedure

pol7=-2

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 5771 0.38369 0.39741 2214 -1.18630 1.51283
att5 0 . . . . .
att9 8617 0.59000 1.09105 5084 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
5771
.
.
0
0.15757
<.0001
5739
att5
.
.
0
.
.
0
.
.
0
att9
0.15757
<.0001
5739
.
.
0
1.00000
 
8617


DATA = GenderScience

The CORR Procedure

pol7=-1

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 3351 0.38823 0.38751 1301 -1.14253 1.47514
att5 0 . . . . .
att9 4955 0.67386 1.16857 3339 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
3351
.
.
0
0.16982
<.0001
3330
att5
.
.
0
.
.
0
.
.
0
att9
0.16982
<.0001
3330
.
.
0
1.00000
 
4955


DATA = GenderScience

The CORR Procedure

pol7=0

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 8551 0.31912 0.39047 2729 -1.45247 1.43432
att5 0 . . . . .
att9 13520 0.56886 1.19117 7691 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
8551
.
.
0
0.17804
<.0001
8487
att5
.
.
0
.
.
0
.
.
0
att9
0.17804
<.0001
8487
.
.
0
1.00000
 
13520


DATA = GenderScience

The CORR Procedure

pol7=1

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 2412 0.39187 0.39901 945.18417 -1.59104 1.44105
att5 0 . . . . .
att9 3686 0.74715 1.22639 2754 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
2412
.
.
0
0.18522
<.0001
2394
att5
.
.
0
.
.
0
.
.
0
att9
0.18522
<.0001
2394
.
.
0
1.00000
 
3686


DATA = GenderScience

The CORR Procedure

pol7=2

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 2253 0.38746 0.39110 872.95781 -1.19066 1.46839
att5 0 . . . . .
att9 3500 0.93543 1.35026 3274 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
2253
.
.
0
0.22854
<.0001
2237
att5
.
.
0
.
.
0
.
.
0
att9
0.22854
<.0001
2237
.
.
0
1.00000
 
3500


DATA = GenderScience

The CORR Procedure

pol7=3

3 Variables: IAT att5 att9

Simple Statistics
Variable N Mean Std Dev Sum Minimum Maximum
IAT 714 0.37345 0.40535 266.64265 -0.98534 1.36522
att5 0 . . . . .
att9 1209 0.99752 1.55287 1206 -4.00000 4.00000

Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
  IAT att5 att9
IAT
1.00000
 
714
.
.
0
0.21308
<.0001
706
att5
.
.
0
.
.
0
.
.
0
att9
0.21308
<.0001
706
.
.
0
1.00000
 
1209


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 97775


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 6.82169 6.82169 45.40 <.0001
Error 97773 14692.37146 0.15027    
Corrected Total 97774 14699.19315      

R-Square Coeff Var Root MSE IAT Mean
0.000464 109.6739 0.387647 0.353454

Source DF Type I SS Mean Square F Value Pr > F
gender 1 6.82169255 6.82169255 45.40 <.0001

Source DF Type III SS Mean Square F Value Pr > F
gender 1 6.82169255 6.82169255 45.40 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 97775


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 6 27.83033 4.63839 30.91 <.0001
Error 97768 14671.36282 0.15006    
Corrected Total 97774 14699.19315      

R-Square Coeff Var Root MSE IAT Mean
0.001893 109.5983 0.387380 0.353454

Source DF Type I SS Mean Square F Value Pr > F
ethnicF 6 27.83033430 4.63838905 30.91 <.0001

Source DF Type III SS Mean Square F Value Pr > F
ethnicF 6 27.83033430 4.63838905 30.91 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 97775


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 126.65239 126.65239 849.76 <.0001
Error 97773 14572.54077 0.14904    
Corrected Total 97774 14699.19315      

R-Square Coeff Var Root MSE IAT Mean
0.008616 109.2258 0.386063 0.353454

Source DF Type I SS Mean Square F Value Pr > F
age 1 126.6523892 126.6523892 849.76 <.0001

Source DF Type III SS Mean Square F Value Pr > F
age 1 126.6523892 126.6523892 849.76 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 97775


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 0.90233 0.90233 6.00 0.0143
Error 97773 14698.29082 0.15033    
Corrected Total 97774 14699.19315      

R-Square Coeff Var Root MSE IAT Mean
0.000061 109.6960 0.387725 0.353454

Source DF Type I SS Mean Square F Value Pr > F
pol6 1 0.90233200 0.90233200 6.00 0.0143

Source DF Type III SS Mean Square F Value Pr > F
pol6 1 0.90233200 0.90233200 6.00 0.0143


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 26022


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 25.566998 25.566998 164.73 <.0001
Error 26020 4038.362678 0.155202    
Corrected Total 26021 4063.929676      

R-Square Coeff Var Root MSE IAT Mean
0.006291 108.3744 0.393957 0.363515

Source DF Type I SS Mean Square F Value Pr > F
gender 1 25.56699819 25.56699819 164.73 <.0001

Source DF Type III SS Mean Square F Value Pr > F
gender 1 25.56699819 25.56699819 164.73 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 26022


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 6 10.587219 1.764537 11.33 <.0001
Error 26015 4053.342456 0.155808    
Corrected Total 26021 4063.929676      

R-Square Coeff Var Root MSE IAT Mean
0.002605 108.5857 0.394725 0.363515

Source DF Type I SS Mean Square F Value Pr > F
ethnicF 6 10.58721930 1.76453655 11.33 <.0001

Source DF Type III SS Mean Square F Value Pr > F
ethnicF 6 10.58721930 1.76453655 11.33 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 26022


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 18.116334 18.116334 116.51 <.0001
Error 26020 4045.813342 0.155489    
Corrected Total 26021 4063.929676      

R-Square Coeff Var Root MSE IAT Mean
0.004458 108.4744 0.394320 0.363515

Source DF Type I SS Mean Square F Value Pr > F
age 1 18.11633411 18.11633411 116.51 <.0001

Source DF Type III SS Mean Square F Value Pr > F
age 1 18.11633411 18.11633411 116.51 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 26022


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 1.311290 1.311290 8.40 0.0038
Error 26020 4062.618385 0.156134    
Corrected Total 26021 4063.929676      

R-Square Coeff Var Root MSE IAT Mean
0.000323 108.6994 0.395139 0.363515

Source DF Type I SS Mean Square F Value Pr > F
pol7 1 1.31129045 1.31129045 8.40 0.0038

Source DF Type III SS Mean Square F Value Pr > F
pol7 1 1.31129045 1.31129045 8.40 0.0038


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 97775


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 9 159.30747 17.70083 119.02 <.0001
Error 97765 14539.88568 0.14872    
Corrected Total 97774 14699.19315      

R-Square Coeff Var Root MSE IAT Mean
0.010838 109.1078 0.385646 0.353454

Source DF Type I SS Mean Square F Value Pr > F
gender 1 6.8216925 6.8216925 45.87 <.0001
ethnicF 6 27.7815039 4.6302507 31.13 <.0001
age 1 121.7392005 121.7392005 818.56 <.0001
pol6 1 2.9650764 2.9650764 19.94 <.0001

Source DF Type III SS Mean Square F Value Pr > F
gender 1 10.4495524 10.4495524 70.26 <.0001
ethnicF 6 19.7000962 3.2833494 22.08 <.0001
age 1 123.6097122 123.6097122 831.14 <.0001
pol6 1 2.9650764 2.9650764 19.94 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 26022


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 9 56.452115 6.272457 40.71 <.0001
Error 26012 4007.477561 0.154063    
Corrected Total 26021 4063.929676      

R-Square Coeff Var Root MSE IAT Mean
0.013891 107.9758 0.392508 0.363515

Source DF Type I SS Mean Square F Value Pr > F
gender 1 25.56699819 25.56699819 165.95 <.0001
ethnicF 6 10.40313891 1.73385649 11.25 <.0001
age 1 20.23799483 20.23799483 131.36 <.0001
pol7 1 0.24398314 0.24398314 1.58 0.2082

Source DF Type III SS Mean Square F Value Pr > F
gender 1 28.10282870 28.10282870 182.41 <.0001
ethnicF 6 9.22426910 1.53737818 9.98 <.0001
age 1 19.83345249 19.83345249 128.74 <.0001
pol7 1 0.24398314 0.24398314 1.58 0.2082


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 7703


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att5

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 2.283997 2.283997 5.61 0.0179
Error 7701 3136.159986 0.407241    
Corrected Total 7702 3138.443983      

R-Square Coeff Var Root MSE att5 Mean
0.000728 112.4103 0.638154 0.567701

Source DF Type I SS Mean Square F Value Pr > F
gender 1 2.28399677 2.28399677 5.61 0.0179

Source DF Type III SS Mean Square F Value Pr > F
gender 1 2.28399677 2.28399677 5.61 0.0179


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 7703


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att5

Source DF Sum of Squares Mean Square F Value Pr > F
Model 6 7.516833 1.252806 3.08 0.0052
Error 7696 3130.927150 0.406825    
Corrected Total 7702 3138.443983      

R-Square Coeff Var Root MSE att5 Mean
0.002395 112.3529 0.637829 0.567701

Source DF Type I SS Mean Square F Value Pr > F
ethnicF 6 7.51683318 1.25280553 3.08 0.0052

Source DF Type III SS Mean Square F Value Pr > F
ethnicF 6 7.51683318 1.25280553 3.08 0.0052


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 7703


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att5

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 2.197514 2.197514 5.40 0.0202
Error 7701 3136.246469 0.407252    
Corrected Total 7702 3138.443983      

R-Square Coeff Var Root MSE att5 Mean
0.000700 112.4118 0.638163 0.567701

Source DF Type I SS Mean Square F Value Pr > F
age 1 2.19751380 2.19751380 5.40 0.0202

Source DF Type III SS Mean Square F Value Pr > F
age 1 2.19751380 2.19751380 5.40 0.0202


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 7703


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att5

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 11.183346 11.183346 27.54 <.0001
Error 7701 3127.260637 0.406085    
Corrected Total 7702 3138.443983      

R-Square Coeff Var Root MSE att5 Mean
0.003563 112.2507 0.637248 0.567701

Source DF Type I SS Mean Square F Value Pr > F
pol6 1 11.18334574 11.18334574 27.54 <.0001

Source DF Type III SS Mean Square F Value Pr > F
pol6 1 11.18334574 11.18334574 27.54 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 39835


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att9

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 192.40116 192.40116 137.14 <.0001
Error 39833 55882.44825 1.40292    
Corrected Total 39834 56074.84940      

R-Square Coeff Var Root MSE att9 Mean
0.003431 187.7014 1.184449 0.631028

Source DF Type I SS Mean Square F Value Pr > F
gender 1 192.4011582 192.4011582 137.14 <.0001

Source DF Type III SS Mean Square F Value Pr > F
gender 1 192.4011582 192.4011582 137.14 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 39835


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att9

Source DF Sum of Squares Mean Square F Value Pr > F
Model 6 38.93875 6.48979 4.61 0.0001
Error 39828 56035.91065 1.40695    
Corrected Total 39834 56074.84940      

R-Square Coeff Var Root MSE att9 Mean
0.000694 187.9708 1.186148 0.631028

Source DF Type I SS Mean Square F Value Pr > F
ethnicF 6 38.93875267 6.48979211 4.61 0.0001

Source DF Type III SS Mean Square F Value Pr > F
ethnicF 6 38.93875267 6.48979211 4.61 0.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 39835


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att9

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 44.63639 44.63639 31.73 <.0001
Error 39833 56030.21302 1.40663    
Corrected Total 39834 56074.84940      

R-Square Coeff Var Root MSE att9 Mean
0.000796 187.9494 1.186013 0.631028

Source DF Type I SS Mean Square F Value Pr > F
age 1 44.63638817 44.63638817 31.73 <.0001

Source DF Type III SS Mean Square F Value Pr > F
age 1 44.63638817 44.63638817 31.73 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 39835


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att9

Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 518.54560 518.54560 371.79 <.0001
Error 39833 55556.30381 1.39473    
Corrected Total 39834 56074.84940      

R-Square Coeff Var Root MSE att9 Mean
0.009247 187.1529 1.180987 0.631028

Source DF Type I SS Mean Square F Value Pr > F
pol7 1 518.5455958 518.5455958 371.79 <.0001

Source DF Type III SS Mean Square F Value Pr > F
pol7 1 518.5455958 518.5455958 371.79 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 113947
Number of Observations Used 7703


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att5

Source DF Sum of Squares Mean Square F Value Pr > F
Model 9 23.071143 2.563460 6.33 <.0001
Error 7693 3115.372840 0.404962    
Corrected Total 7702 3138.443983      

R-Square Coeff Var Root MSE att5 Mean
0.007351 112.0953 0.636366 0.567701

Source DF Type I SS Mean Square F Value Pr > F
gender 1 2.28399677 2.28399677 5.64 0.0176
ethnicF 6 7.21021042 1.20170174 2.97 0.0068
age 1 2.45232788 2.45232788 6.06 0.0139
pol6 1 11.12460792 11.12460792 27.47 <.0001

Source DF Type III SS Mean Square F Value Pr > F
gender 1 1.31244104 1.31244104 3.24 0.0719
ethnicF 6 7.53709707 1.25618284 3.10 0.0049
age 1 3.06002527 3.06002527 7.56 0.0060
pol6 1 11.12460792 11.12460792 27.47 <.0001


DATA = GenderScience

The GLM Procedure

Class Level Information
Class Levels Values
ethnicF 7 1 2 3 4 5 6 7
gender 2 f m

Number of Observations Read 40145
Number of Observations Used 39835


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att9

Source DF Sum of Squares Mean Square F Value Pr > F
Model 9 741.70740 82.41193 59.31 <.0001
Error 39825 55333.14200 1.38941    
Corrected Total 39834 56074.84940      

R-Square Coeff Var Root MSE att9 Mean
0.013227 186.7954 1.178731 0.631028

Source DF Type I SS Mean Square F Value Pr > F
gender 1 192.4011582 192.4011582 138.48 <.0001
ethnicF 6 37.2303029 6.2050505 4.47 0.0002
age 1 61.9014245 61.9014245 44.55 <.0001
pol7 1 450.1745172 450.1745172 324.00 <.0001

Source DF Type III SS Mean Square F Value Pr > F
gender 1 156.5383103 156.5383103 112.67 <.0001
ethnicF 6 37.3324706 6.2220784 4.48 0.0002
age 1 41.3546926 41.3546926 29.76 <.0001
pol7 1 450.1745172 450.1745172 324.00 <.0001


DATA = GenderScience

The GLM Procedure

Number of Observations Read 381861
Number of Observations Used 248248


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: IAT

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 229.98474 76.66158 471.41 <.0001
Error 248244 40369.81872 0.16262    
Corrected Total 248247 40599.80346      

R-Square Coeff Var Root MSE IAT Mean
0.005665 105.1485 0.403264 0.383518

Source DF Type I SS Mean Square F Value Pr > F
age 1 216.9125855 216.9125855 1333.85 <.0001
age*age 1 1.3481516 1.3481516 8.29 0.0040
age*age*age 1 11.7239999 11.7239999 72.09 <.0001

Source DF Type III SS Mean Square F Value Pr > F
age 1 14.27110777 14.27110777 87.76 <.0001
age*age 1 10.25403860 10.25403860 63.05 <.0001
age*age*age 1 11.72399986 11.72399986 72.09 <.0001

Parameter Estimate Standard Error t Value Pr > |t|
Intercept 0.2197324995 0.01400162 15.69 <.0001
age 0.0121098437 0.00129270 9.37 <.0001
age*age -.0002881890 0.00003629 -7.94 <.0001
age*age*age 0.0000026807 0.00000032 8.49 <.0001


DATA = GenderScience

The GLM Procedure

Number of Observations Read 381861
Number of Observations Used 133684


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att5

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 54.68461 18.22820 42.77 <.0001
Error 133680 56973.77518 0.42620    
Corrected Total 133683 57028.45979      

R-Square Coeff Var Root MSE att5 Mean
0.000959 124.9106 0.652836 0.522643

Source DF Type I SS Mean Square F Value Pr > F
age 1 31.78221291 31.78221291 74.57 <.0001
age*age 1 1.72940403 1.72940403 4.06 0.0440
age*age*age 1 21.17299424 21.17299424 49.68 <.0001

Source DF Type III SS Mean Square F Value Pr > F
age 1 26.16764964 26.16764964 61.40 <.0001
age*age 1 22.60613678 22.60613678 53.04 <.0001
age*age*age 1 21.17299424 21.17299424 49.68 <.0001

Parameter Estimate Standard Error t Value Pr > |t|
Intercept 0.2485512379 0.03272299 7.60 <.0001
age 0.0236590238 0.00301939 7.84 <.0001
age*age -.0006171134 0.00008473 -7.28 <.0001
age*age*age 0.0000052014 0.00000074 7.05 <.0001


DATA = GenderScience

The GLM Procedure

Number of Observations Read 381861
Number of Observations Used 71287


DATA = GenderScience

The GLM Procedure
 
Dependent Variable: att9

Source DF Sum of Squares Mean Square F Value Pr > F
Model 3 265.27028 88.42343 65.21 <.0001
Error 71283 96664.72220 1.35607    
Corrected Total 71286 96929.99248      

R-Square Coeff Var Root MSE att9 Mean
0.002737 193.3931 1.164504 0.602143

Source DF Type I SS Mean Square F Value Pr > F
age 1 26.4810526 26.4810526 19.53 <.0001
age*age 1 106.4456270 106.4456270 78.50 <.0001
age*age*age 1 132.3435987 132.3435987 97.59 <.0001

Source DF Type III SS Mean Square F Value Pr > F
age 1 190.1972531 190.1972531 140.26 <.0001
age*age 1 169.4380884 169.4380884 124.95 <.0001
age*age*age 1 132.3435987 132.3435987 97.59 <.0001

Parameter Estimate Standard Error t Value Pr > |t|
Intercept -.1934167559 0.06722148 -2.88 0.0040
age 0.0763061860 0.00644316 11.84 <.0001
age*age -.0020886478 0.00018685 -11.18 <.0001
age*age*age 0.0000165443 0.00000167 9.88 <.0001