ChIPS ‘Gender attitudes and intergroup behavior among diverse young children’ Revision 2

Probing for Group Differences in same and other Gender Attitudes

For each analysis, an ANCOVA is conducting covarying age in order to remain consistent with our preregistered analyses. For each new predictor variable (e.g., “parent education level”), two separate ANCOVAs are conducted; first with same gender attitudes as the outcome, then with other gender attitudes as the outcome.

Parent Level Predictors

Parent Education Level

Regression for Same Gender Attitudes

Estimates for the Same Gender model
term estimate std.error statistic p.value
(Intercept) 3.4497 0.4162 8.2885 0.0000
ageAtTest 0.1419 0.0724 1.9599 0.0505
C_Sex_comb1 0.2104 0.0808 2.6029 0.0095
P_Edu_comb1 0.4375 0.6087 0.7187 0.4726
P_Edu_comb2 0.3874 0.2270 1.7069 0.0884
P_Edu_comb3 0.1744 0.1177 1.4818 0.1390
P_Edu_comb4 0.1194 0.0693 1.7234 0.0854
P_Edu_comb5 0.0656 0.0474 1.3824 0.1674
C_Sex_comb1:P_Edu_comb1 NA NA NA NA
C_Sex_comb1:P_Edu_comb2 -0.0199 0.1291 -0.1541 0.8776
C_Sex_comb1:P_Edu_comb3 -0.0523 0.0601 -0.8706 0.3843
C_Sex_comb1:P_Edu_comb4 -0.0433 0.0289 -1.4985 0.1346
C_Sex_comb1:P_Edu_comb5 NA NA NA NA
Confidence intervals for the Same Gender model
2.5 % 97.5 %
(Intercept) 2.6321 4.2672
ageAtTest -0.0003 0.2840
C_Sex_comb1 0.0516 0.3692
P_Edu_comb1 -0.7583 1.6333
P_Edu_comb2 -0.0584 0.8333
P_Edu_comb3 -0.0568 0.4055
P_Edu_comb4 -0.0167 0.2555
P_Edu_comb5 -0.0276 0.1588
C_Sex_comb1:P_Edu_comb1 NA NA
C_Sex_comb1:P_Edu_comb2 -0.2735 0.2337
C_Sex_comb1:P_Edu_comb3 -0.1702 0.0657
C_Sex_comb1:P_Edu_comb4 -0.1000 0.0135
C_Sex_comb1:P_Edu_comb5 NA NA
Summary for the Same Gender model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0286 0.0108 1.2175 1.6038 0.1019 10 -892.793 1809.59 1861.44 807.851 545 556

Regression for Other Gender Attitudes

Estimates for the Other Gender model
term estimate std.error statistic p.value
(Intercept) 4.1688 0.5085 8.1974 0.0000
ageAtTest -0.0465 0.0885 -0.5255 0.5995
C_Sex_comb1 -0.2263 0.1001 -2.2620 0.0241
P_Edu_comb1 0.4375 0.7382 0.5927 0.5537
P_Edu_comb2 0.0055 0.2763 0.0199 0.9841
P_Edu_comb3 -0.0174 0.1432 -0.1217 0.9032
P_Edu_comb4 -0.0127 0.0843 -0.1511 0.8800
P_Edu_comb5 -0.0388 0.0577 -0.6719 0.5020
C_Sex_comb1:P_Edu_comb1 NA NA NA NA
C_Sex_comb1:P_Edu_comb2 0.1455 0.1585 0.9178 0.3591
C_Sex_comb1:P_Edu_comb3 -0.0215 0.0737 -0.2914 0.7708
C_Sex_comb1:P_Edu_comb4 -0.0216 0.0358 -0.6037 0.5463
C_Sex_comb1:P_Edu_comb5 NA NA NA NA
Confidence intervals for the Other Gender model
2.5 % 97.5 %
(Intercept) 3.1697 5.1678
ageAtTest -0.2204 0.1274
C_Sex_comb1 -0.4229 -0.0298
P_Edu_comb1 -1.0126 1.8876
P_Edu_comb2 -0.5374 0.5484
P_Edu_comb3 -0.2986 0.2638
P_Edu_comb4 -0.1782 0.1528
P_Edu_comb5 -0.1521 0.0746
C_Sex_comb1:P_Edu_comb1 NA NA
C_Sex_comb1:P_Edu_comb2 -0.1659 0.4568
C_Sex_comb1:P_Edu_comb3 -0.1663 0.1233
C_Sex_comb1:P_Edu_comb4 -0.0918 0.0487
C_Sex_comb1:P_Edu_comb5 NA NA
Summary for the Other Gender model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0355 0.0171 1.4763 1.9265 0.0395 10 -961.993 1947.99 1999.37 1142.1 524 535

Regression for Seating

Estimates for the Seating model
term estimate std.error statistic p.value
(Intercept) -0.8503 0.5072 -1.6765 0.0942
ageAtTest 0.2705 0.0887 3.0477 0.0024
C_Sex_comb1 0.0636 0.1001 0.6358 0.5252
P_Edu_comb1 -1.0833 0.7354 -1.4730 0.1413
P_Edu_comb2 -0.2079 0.2765 -0.7517 0.4526
P_Edu_comb3 0.0242 0.1426 0.1699 0.8651
P_Edu_comb4 -0.0183 0.0838 -0.2178 0.8277
P_Edu_comb5 0.0077 0.0575 0.1337 0.8937
C_Sex_comb1:P_Edu_comb1 NA NA NA NA
C_Sex_comb1:P_Edu_comb2 -0.0436 0.1579 -0.2764 0.7824
C_Sex_comb1:P_Edu_comb3 0.0897 0.0733 1.2235 0.2217
C_Sex_comb1:P_Edu_comb4 0.0342 0.0360 0.9496 0.3428
C_Sex_comb1:P_Edu_comb5 NA NA NA NA
Confidence intervals for the Seating model
2.5 % 97.5 %
(Intercept) -1.8467 0.1461
ageAtTest 0.0961 0.4448
C_Sex_comb1 -0.1330 0.2603
P_Edu_comb1 -2.5282 0.3615
P_Edu_comb2 -0.7511 0.3354
P_Edu_comb3 -0.2558 0.3043
P_Edu_comb4 -0.1830 0.1465
P_Edu_comb5 -0.1052 0.1206
C_Sex_comb1:P_Edu_comb1 NA NA
C_Sex_comb1:P_Edu_comb2 -0.3538 0.2665
C_Sex_comb1:P_Edu_comb3 -0.0543 0.2338
C_Sex_comb1:P_Edu_comb4 -0.0365 0.1048
C_Sex_comb1:P_Edu_comb5 NA NA
Summary for the Seating model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0418 0.0232 1.4709 2.2542 0.014 10 -947.376 1918.75 1969.98 1118.52 517 528

Regression for Resource Allocation

Estimates for the Resource Allocation model
term estimate std.error statistic p.value
(Intercept) 1.4910 0.3321 4.4897 0.0000
ageAtTest 0.1265 0.0578 2.1889 0.0290
C_Sex_comb1 0.2946 0.0642 4.5877 0.0000
P_Edu_comb1 -0.2500 0.4873 -0.5131 0.6081
P_Edu_comb2 -0.1917 0.1818 -1.0542 0.2923
P_Edu_comb3 -0.1315 0.0939 -1.4004 0.1620
P_Edu_comb4 -0.0707 0.0553 -1.2775 0.2020
P_Edu_comb5 -0.0366 0.0378 -0.9688 0.3331
C_Sex_comb1:P_Edu_comb1 NA NA NA NA
C_Sex_comb1:P_Edu_comb2 0.0325 0.1021 0.3180 0.7506
C_Sex_comb1:P_Edu_comb3 0.0127 0.0475 0.2663 0.7901
C_Sex_comb1:P_Edu_comb4 0.0082 0.0232 0.3549 0.7228
C_Sex_comb1:P_Edu_comb5 NA NA NA NA
Confidence intervals for the Resource Allocation model
2.5 % 97.5 %
(Intercept) 0.8387 2.1434
ageAtTest 0.0130 0.2400
C_Sex_comb1 0.1685 0.4207
P_Edu_comb1 -1.2071 0.7071
P_Edu_comb2 -0.5488 0.1655
P_Edu_comb3 -0.3159 0.0529
P_Edu_comb4 -0.1793 0.0380
P_Edu_comb5 -0.1108 0.0376
C_Sex_comb1:P_Edu_comb1 NA NA
C_Sex_comb1:P_Edu_comb2 -0.1682 0.2331
C_Sex_comb1:P_Edu_comb3 -0.0807 0.1060
C_Sex_comb1:P_Edu_comb4 -0.0374 0.0539
C_Sex_comb1:P_Edu_comb5 NA NA
Summary for the Resource Allocation model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.1061 0.0896 0.9745 6.4335 0 10 -764.841 1553.68 1605.47 514.725 542 553

Regression for Sticker Choice

Estimates for the Sticker Choice model
term estimate std.error statistic p.value
(Intercept) 3.9278 0.4390 8.9480 0.0000
ageAtTest 0.0189 0.0763 0.2481 0.8041
C_Sex_comb1 0.7915 0.0846 9.3553 0.0000
P_Edu_comb1 0.0000 0.6487 0.0000 1.0000
P_Edu_comb2 -0.0871 0.2418 -0.3604 0.7187
P_Edu_comb3 -0.1091 0.1247 -0.8752 0.3818
P_Edu_comb4 -0.0264 0.0735 -0.3595 0.7194
P_Edu_comb5 -0.0324 0.0502 -0.6464 0.5183
C_Sex_comb1:P_Edu_comb1 NA NA NA NA
C_Sex_comb1:P_Edu_comb2 0.0150 0.1355 0.1110 0.9117
C_Sex_comb1:P_Edu_comb3 0.0465 0.0625 0.7450 0.4566
C_Sex_comb1:P_Edu_comb4 0.0007 0.0304 0.0219 0.9825
C_Sex_comb1:P_Edu_comb5 NA NA NA NA
Confidence intervals for the Sticker Choice model
2.5 % 97.5 %
(Intercept) 3.0656 4.7900
ageAtTest -0.1309 0.1688
C_Sex_comb1 0.6253 0.9577
P_Edu_comb1 -1.2742 1.2742
P_Edu_comb2 -0.5620 0.3877
P_Edu_comb3 -0.3539 0.1358
P_Edu_comb4 -0.1707 0.1179
P_Edu_comb5 -0.1309 0.0661
C_Sex_comb1:P_Edu_comb1 NA NA
C_Sex_comb1:P_Edu_comb2 -0.2511 0.2812
C_Sex_comb1:P_Edu_comb3 -0.0762 0.1692
C_Sex_comb1:P_Edu_comb4 -0.0591 0.0604
C_Sex_comb1:P_Edu_comb5 NA NA
Summary for the Sticker Choice model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.2856 0.2728 1.2974 22.3465 0 10 -951.652 1927.3 1979.45 940.95 559 570

Parent Income Level

Regression for Same Gender Attitudes

Estimates for the Same Gender model
term estimate std.error statistic p.value
(Intercept) 3.8294 0.3584 10.6853 0.0000
ageAtTest 0.1355 0.0715 1.8941 0.0587
C_Sex_comb1 0.1448 0.0641 2.2588 0.0243
P_Income1_comb1 -0.0490 0.1275 -0.3848 0.7006
P_Income1_comb2 0.0643 0.0658 0.9764 0.3293
P_Income1_comb3 0.0141 0.0340 0.4144 0.6787
P_Income1_comb4 0.0181 0.0224 0.8105 0.4180
C_Sex_comb1:P_Income1_comb1 -0.0737 0.1275 -0.5777 0.5637
C_Sex_comb1:P_Income1_comb2 -0.0261 0.0657 -0.3976 0.6911
C_Sex_comb1:P_Income1_comb3 0.0027 0.0339 0.0798 0.9364
C_Sex_comb1:P_Income1_comb4 -0.0013 0.0223 -0.0582 0.9536
Confidence intervals for the Same Gender model
2.5 % 97.5 %
(Intercept) 3.1254 4.5334
ageAtTest -0.0050 0.2760
C_Sex_comb1 0.0189 0.2707
P_Income1_comb1 -0.2994 0.2014
P_Income1_comb2 -0.0650 0.1936
P_Income1_comb3 -0.0526 0.0808
P_Income1_comb4 -0.0258 0.0621
C_Sex_comb1:P_Income1_comb1 -0.3242 0.1769
C_Sex_comb1:P_Income1_comb2 -0.1552 0.1029
C_Sex_comb1:P_Income1_comb3 -0.0640 0.0694
C_Sex_comb1:P_Income1_comb4 -0.0451 0.0425
Summary for the Same Gender model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0242 0.0062 1.2001 1.342 0.2046 10 -876.78 1777.56 1829.3 777.717 540 551

Regression for Other Gender Attitudes

Estimates for the Other Gender model
term estimate std.error statistic p.value
(Intercept) 4.0984 0.4374 9.3691 0.0000
ageAtTest -0.0213 0.0872 -0.2445 0.8070
C_Sex_comb1 -0.1824 0.0781 -2.3364 0.0198
P_Income1_comb1 -0.0629 0.1534 -0.4104 0.6817
P_Income1_comb2 -0.0197 0.0811 -0.2429 0.8082
P_Income1_comb3 -0.0513 0.0415 -1.2368 0.2167
P_Income1_comb4 -0.0704 0.0275 -2.5618 0.0107
C_Sex_comb1:P_Income1_comb1 -0.1797 0.1535 -1.1709 0.2422
C_Sex_comb1:P_Income1_comb2 -0.0220 0.0808 -0.2727 0.7852
C_Sex_comb1:P_Income1_comb3 -0.0728 0.0415 -1.7542 0.0800
C_Sex_comb1:P_Income1_comb4 -0.0094 0.0274 -0.3414 0.7329
Confidence intervals for the Other Gender model
2.5 % 97.5 %
(Intercept) 3.2390 4.9578
ageAtTest -0.1926 0.1500
C_Sex_comb1 -0.3358 -0.0290
P_Income1_comb1 -0.3643 0.2384
P_Income1_comb2 -0.1789 0.1395
P_Income1_comb3 -0.1328 0.0302
P_Income1_comb4 -0.1244 -0.0164
C_Sex_comb1:P_Income1_comb1 -0.4812 0.1218
C_Sex_comb1:P_Income1_comb2 -0.1809 0.1368
C_Sex_comb1:P_Income1_comb3 -0.1542 0.0087
C_Sex_comb1:P_Income1_comb4 -0.0632 0.0445
Summary for the Other Gender model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0468 0.0284 1.4519 2.5516 0.0052 10 -945.901 1915.8 1967.1 1096.19 520 531

Regression for Seating

Estimates for the Seating model
term estimate std.error statistic p.value
(Intercept) -0.9726 0.4448 -2.1865 0.0292
ageAtTest 0.2783 0.0885 3.1441 0.0018
C_Sex_comb1 0.1623 0.0796 2.0392 0.0419
P_Income1_comb1 -0.1003 0.1572 -0.6378 0.5239
P_Income1_comb2 -0.0010 0.0822 -0.0120 0.9904
P_Income1_comb3 0.0822 0.0422 1.9471 0.0521
P_Income1_comb4 0.0128 0.0280 0.4581 0.6471
C_Sex_comb1:P_Income1_comb1 -0.1647 0.1574 -1.0465 0.2958
C_Sex_comb1:P_Income1_comb2 -0.1068 0.0820 -1.3021 0.1935
C_Sex_comb1:P_Income1_comb3 -0.0479 0.0422 -1.1348 0.2570
C_Sex_comb1:P_Income1_comb4 0.0047 0.0279 0.1695 0.8655
Confidence intervals for the Seating model
2.5 % 97.5 %
(Intercept) -1.8465 -0.0987
ageAtTest 0.1044 0.4523
C_Sex_comb1 0.0059 0.3187
P_Income1_comb1 -0.4091 0.2086
P_Income1_comb2 -0.1624 0.1604
P_Income1_comb3 -0.0007 0.1651
P_Income1_comb4 -0.0422 0.0678
C_Sex_comb1:P_Income1_comb1 -0.4739 0.1445
C_Sex_comb1:P_Income1_comb2 -0.2679 0.0543
C_Sex_comb1:P_Income1_comb3 -0.1308 0.0350
C_Sex_comb1:P_Income1_comb4 -0.0501 0.0596
Summary for the Seating model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0418 0.0231 1.4647 2.2388 0.0147 10 -937.963 1899.93 1951.06 1100.62 513 524

Regression for Resource Allocation

Estimates for the Resource Allocation model
term estimate std.error statistic p.value
(Intercept) 1.2215 0.2911 4.1959 0.0000
ageAtTest 0.1371 0.0580 2.3620 0.0185
C_Sex_comb1 0.3595 0.0516 6.9731 0.0000
P_Income1_comb1 -0.1351 0.1013 -1.3330 0.1831
P_Income1_comb2 -0.0337 0.0533 -0.6312 0.5282
P_Income1_comb3 0.0080 0.0275 0.2921 0.7703
P_Income1_comb4 -0.0120 0.0182 -0.6590 0.5101
C_Sex_comb1:P_Income1_comb1 -0.1024 0.1014 -1.0093 0.3133
C_Sex_comb1:P_Income1_comb2 0.0230 0.0532 0.4317 0.6661
C_Sex_comb1:P_Income1_comb3 -0.0152 0.0274 -0.5529 0.5806
C_Sex_comb1:P_Income1_comb4 -0.0273 0.0182 -1.5054 0.1328
Confidence intervals for the Resource Allocation model
2.5 % 97.5 %
(Intercept) 0.6496 1.7934
ageAtTest 0.0231 0.2511
C_Sex_comb1 0.2582 0.4607
P_Income1_comb1 -0.3342 0.0640
P_Income1_comb2 -0.1384 0.0711
P_Income1_comb3 -0.0459 0.0620
P_Income1_comb4 -0.0478 0.0238
C_Sex_comb1:P_Income1_comb1 -0.3017 0.0969
C_Sex_comb1:P_Income1_comb2 -0.0815 0.1275
C_Sex_comb1:P_Income1_comb3 -0.0691 0.0387
C_Sex_comb1:P_Income1_comb4 -0.0630 0.0083
Summary for the Resource Allocation model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.1152 0.0988 0.9769 7.0072 0 10 -760.622 1545.24 1596.94 513.453 538 549

Regression for Sticker Choice

Estimates for the Sticker Choice model
term estimate std.error statistic p.value
(Intercept) 3.6340 0.3805 9.5508 0.0000
ageAtTest 0.0454 0.0762 0.5959 0.5515
C_Sex_comb1 0.8114 0.0672 12.0825 0.0000
P_Income1_comb1 0.1473 0.1326 1.1111 0.2670
P_Income1_comb2 0.0109 0.0692 0.1575 0.8749
P_Income1_comb3 0.0312 0.0358 0.8709 0.3842
P_Income1_comb4 -0.0094 0.0237 -0.3985 0.6904
C_Sex_comb1:P_Income1_comb1 -0.2521 0.1327 -1.9003 0.0579
C_Sex_comb1:P_Income1_comb2 0.0671 0.0690 0.9728 0.3311
C_Sex_comb1:P_Income1_comb3 0.0279 0.0357 0.7811 0.4351
C_Sex_comb1:P_Income1_comb4 -0.0005 0.0236 -0.0200 0.9841
Confidence intervals for the Sticker Choice model
2.5 % 97.5 %
(Intercept) 2.8866 4.3814
ageAtTest -0.1042 0.1950
C_Sex_comb1 0.6795 0.9433
P_Income1_comb1 -0.1131 0.4077
P_Income1_comb2 -0.1250 0.1468
P_Income1_comb3 -0.0391 0.1014
P_Income1_comb4 -0.0560 0.0371
C_Sex_comb1:P_Income1_comb1 -0.5127 0.0085
C_Sex_comb1:P_Income1_comb2 -0.0684 0.2027
C_Sex_comb1:P_Income1_comb3 -0.0423 0.0981
C_Sex_comb1:P_Income1_comb4 -0.0468 0.0459
Summary for the Sticker Choice model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.2991 0.2864 1.2905 23.721 0 10 -943.603 1911.21 1963.29 926.013 556 567

Parent Political Orientation

Regression for Same Gender Attitudes

Estimates for the Same Gender model
term estimate std.error statistic p.value
(Intercept) 3.5257 0.3787 9.3112 0.0000
ageAtTest 0.1782 0.0728 2.4468 0.0147
C_Sex_comb1 0.0646 0.1178 0.5482 0.5838
P_Politcal_comb 0.0412 0.0360 1.1432 0.2535
C_Sex_comb1:P_Politcal_comb 0.0257 0.0361 0.7138 0.4757
Confidence intervals for the Same Gender model
2.5 % 97.5 %
(Intercept) 2.7818 4.2696
ageAtTest 0.0351 0.3214
C_Sex_comb1 -0.1668 0.2959
P_Politcal_comb -0.0296 0.1120
C_Sex_comb1:P_Politcal_comb -0.0451 0.0966
Summary for the Same Gender model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0278 0.0203 1.213 3.6879 0.0057 4 -837.341 1686.68 1712.22 759.176 516 521

Regression for Other Gender Attitudes

Estimates for the Other Gender model
term estimate std.error statistic p.value
(Intercept) 4.0703 0.4621 8.8091 0.0000
ageAtTest -0.0298 0.0889 -0.3350 0.7377
C_Sex_comb1 -0.2048 0.1445 -1.4173 0.1570
P_Politcal_comb -0.0135 0.0443 -0.3047 0.7607
C_Sex_comb1:P_Politcal_comb -0.0038 0.0443 -0.0853 0.9321
Confidence intervals for the Other Gender model
2.5 % 97.5 %
(Intercept) 3.1625 4.9782
ageAtTest -0.2044 0.1448
C_Sex_comb1 -0.4887 0.0791
P_Politcal_comb -0.1005 0.0735
C_Sex_comb1:P_Politcal_comb -0.0908 0.0832
Summary for the Other Gender model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0216 0.0138 1.4679 2.7491 0.0277 4 -902.481 1816.96 1842.27 1070.91 497 502

Regression for Seating

Estimates for the Seating model
term estimate std.error statistic p.value
(Intercept) -0.7540 0.4576 -1.6476 0.1001
ageAtTest 0.2916 0.0880 3.3147 0.0010
C_Sex_comb1 0.2558 0.1427 1.7922 0.0737
P_Politcal_comb -0.0701 0.0436 -1.6055 0.1090
C_Sex_comb1:P_Politcal_comb -0.0382 0.0437 -0.8759 0.3815
Confidence intervals for the Seating model
2.5 % 97.5 %
(Intercept) -1.6531 0.1452
ageAtTest 0.1188 0.4645
C_Sex_comb1 -0.0246 0.5363
P_Politcal_comb -0.1558 0.0157
C_Sex_comb1:P_Politcal_comb -0.1240 0.0475
Summary for the Seating model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.036 0.0282 1.4454 4.5923 0.0012 4 -885.793 1783.59 1808.84 1027.9 492 497

Regression for Resource Allocation

Estimates for the Resource Allocation model
term estimate std.error statistic p.value
(Intercept) 1.2046 0.3036 3.9672 0.0001
ageAtTest 0.1407 0.0584 2.4101 0.0163
C_Sex_comb1 0.3078 0.0941 3.2728 0.0011
P_Politcal_comb -0.0020 0.0287 -0.0693 0.9448
C_Sex_comb1:P_Politcal_comb -0.0020 0.0287 -0.0713 0.9432
Confidence intervals for the Resource Allocation model
2.5 % 97.5 %
(Intercept) 0.6081 1.8012
ageAtTest 0.0260 0.2554
C_Sex_comb1 0.1230 0.4926
P_Politcal_comb -0.0584 0.0544
C_Sex_comb1:P_Politcal_comb -0.0584 0.0543
Summary for the Resource Allocation model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.0955 0.0885 0.9762 13.5733 0 4 -721.436 1454.87 1480.38 489.863 514 519

Regression for Sticker Choice

Estimates for the Sticker Choice model
term estimate std.error statistic p.value
(Intercept) 3.7242 0.3975 9.3683 0.0000
ageAtTest 0.0111 0.0768 0.1452 0.8846
C_Sex_comb1 0.9129 0.1228 7.4367 0.0000
P_Politcal_comb 0.0413 0.0376 1.0981 0.2727
C_Sex_comb1:P_Politcal_comb -0.0319 0.0377 -0.8475 0.3971
Confidence intervals for the Sticker Choice model
2.5 % 97.5 %
(Intercept) 2.9432 4.5051
ageAtTest -0.1397 0.1620
C_Sex_comb1 0.6718 1.1541
P_Politcal_comb -0.0326 0.1153
C_Sex_comb1:P_Politcal_comb -0.1059 0.0421
Summary for the Sticker Choice model
r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance df.residual nobs
0.2891 0.2837 1.2939 53.8817 0 4 -894.48 1800.96 1826.65 887.35 530 535

Zipcode Level Predictors

Average median income by zipcode

Regression for Same Gender Attitudes

Estimates for the Same Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.7554 0.4677 8.0290 120.0834 0.0000
fixed NA ageAtTest 0.1439 0.0748 1.9252 501.4404 0.0548
fixed NA C_Sex_comb1 -0.0215 0.1735 -0.1241 518.1352 0.9013
fixed NA med_fam_inc_all 0.0000 0.0000 0.2345 35.1713 0.8159
fixed NA C_Sex_comb1:med_fam_inc_all 0.0000 0.0000 0.8000 493.7930 0.4241
ran_pars Zipcode_comb sd__(Intercept) 1.0796 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).med_fam_inc_all -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__med_fam_inc_all 0.0000 NA NA NA NA
ran_pars Residual sd__Observation 1.0796 NA NA NA NA
Confidence intervals for the Same Gender model
2.5 % 97.5 %
.sig01 0.6093 1.5708
.sig02 -1.0000 1.0000
.sig03 0.0000 0.0000
.sigma 0.9945 1.1499
(Intercept) 2.8768 4.6920
ageAtTest -0.0117 0.2884
C_Sex_comb1 -0.3773 0.3272
med_fam_inc_all 0.0000 0.0000
C_Sex_comb1:med_fam_inc_all 0.0000 0.0000
Summary for the Same Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.0796 -968.333 1954.67 1993.62 1936.67 551

Regression for Other Gender Attitudes

Estimates for the Other Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 4.1900 0.5615 7.4620 165.2050 0.0000
fixed NA ageAtTest -0.0449 0.0897 -0.5002 523.5368 0.6172
fixed NA C_Sex_comb1 -0.4124 0.2087 -1.9758 516.0316 0.0487
fixed NA med_fam_inc_all 0.0000 0.0000 -0.1000 39.1894 0.9208
fixed NA C_Sex_comb1:med_fam_inc_all 0.0000 0.0000 0.8682 512.0572 0.3857
ran_pars Zipcode_comb sd__(Intercept) 1.2822 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).med_fam_inc_all -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__med_fam_inc_all 0.0000 NA NA NA NA
ran_pars Residual sd__Observation 1.2822 NA NA NA NA
Confidence intervals for the Other Gender model
2.5 % 97.5 %
.sig01 0.7636 1.8847
.sig02 -1.0000 1.0000
.sig03 0.0000 0.0000
.sigma 1.1834 1.3805
(Intercept) 3.0927 5.3796
ageAtTest -0.2230 0.1198
C_Sex_comb1 -0.8440 -0.0096
med_fam_inc_all 0.0000 0.0000
C_Sex_comb1:med_fam_inc_all 0.0000 0.0000
Summary for the Other Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.2822 -1026.45 2070.9 2109.51 2052.9 530

Regression for Seating

Estimates for the Seating model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) -0.8159 0.5683 -1.4357 133.8695 0.1534
fixed NA ageAtTest 0.2302 0.0913 2.5204 486.6142 0.0120
fixed NA C_Sex_comb1 -0.0426 0.2099 -0.2028 495.4888 0.8394
fixed NA med_fam_inc_all 0.0000 0.0000 0.2213 40.2602 0.8260
fixed NA C_Sex_comb1:med_fam_inc_all 0.0000 0.0000 0.8942 466.3995 0.3717
ran_pars Zipcode_comb sd__(Intercept) 1.2973 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).med_fam_inc_all -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__med_fam_inc_all 0.0000 NA NA NA NA
ran_pars Residual sd__Observation 1.2973 NA NA NA NA
Confidence intervals for the Seating model
2.5 % 97.5 %
.sig01 0.7579 1.8769
.sig02 -1.0000 1.0000
.sig03 0.0000 0.0000
.sigma 1.2023 1.3944
(Intercept) -1.8552 0.3479
ageAtTest 0.0417 0.3893
C_Sex_comb1 -0.4285 0.3533
med_fam_inc_all 0.0000 0.0000
C_Sex_comb1:med_fam_inc_all 0.0000 0.0000
Summary for the Seating model
sigma logLik AIC BIC REMLcrit df.residual
1.2973 -1022.27 2062.53 2101.04 2044.54 524

Regression for Resource Allocation

Estimates for the Resource Allocation model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 1.3426 0.3737 3.5931 144.9523 0.0004
fixed NA ageAtTest 0.1229 0.0594 2.0668 518.9786 0.0392
fixed NA C_Sex_comb1 0.3205 0.1349 2.3763 535.6151 0.0178
fixed NA med_fam_inc_all 0.0000 0.0000 -0.2407 38.2573 0.8111
fixed NA C_Sex_comb1:med_fam_inc_all 0.0000 0.0000 -0.0076 524.4108 0.9939
ran_pars Zipcode_comb sd__(Intercept) 0.8614 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).med_fam_inc_all -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__med_fam_inc_all 0.0000 NA NA NA NA
ran_pars Residual sd__Observation 0.8614 NA NA NA NA
Confidence intervals for the Resource Allocation model
2.5 % 97.5 %
.sig01 0.4620 1.3033
.sig02 -1.0000 1.0000
.sig03 0.0000 0.0000
.sigma 0.7950 0.9221
(Intercept) 0.6562 2.0991
ageAtTest -0.0059 0.2435
C_Sex_comb1 0.0561 0.5687
med_fam_inc_all 0.0000 0.0000
C_Sex_comb1:med_fam_inc_all 0.0000 0.0000
Summary for the Resource Allocation model
sigma logLik AIC BIC REMLcrit df.residual
0.8614 -838.97 1695.94 1734.84 1677.94 548

Regression for Sticker Choice

Estimates for the Sticker Choice model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.8754 0.4878 7.9449 162.8398 0.0000
fixed NA ageAtTest -0.0068 0.0779 -0.0871 555.9617 0.9306
fixed NA C_Sex_comb1 0.6409 0.1771 3.6183 549.1085 0.0003
fixed NA med_fam_inc_all 0.0000 0.0000 0.0551 39.8089 0.9563
fixed NA C_Sex_comb1:med_fam_inc_all 0.0000 0.0000 0.9527 540.8952 0.3412
ran_pars Zipcode_comb sd__(Intercept) 1.1426 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).med_fam_inc_all -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__med_fam_inc_all 0.0000 NA NA NA NA
ran_pars Residual sd__Observation 1.1426 NA NA NA NA
Confidence intervals for the Sticker Choice model
2.5 % 97.5 %
.sig01 0.6853 1.6315
.sig02 -1.0000 1.0000
.sig03 0.0000 0.0000
.sigma 1.0618 1.2228
(Intercept) 2.9025 4.8054
ageAtTest -0.1467 0.1553
C_Sex_comb1 0.2789 0.9791
med_fam_inc_all 0.0000 0.0000
C_Sex_comb1:med_fam_inc_all 0.0000 0.0000
Summary for the Sticker Choice model
sigma logLik AIC BIC REMLcrit df.residual
1.1426 -1026.59 2071.18 2110.39 2053.18 567

GINI Index (representing wealth inequality by zipcode)

Regression for Same Gender Attitudes

Estimates for the Same Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.5556 0.6289 5.6536 138.0264 0.0000
fixed NA ageAtTest 0.1533 0.0719 2.1329 551.4398 0.0334
fixed NA C_Sex_comb1 0.4385 0.4707 0.9317 554.4957 0.3519
fixed NA gini_index 0.4377 1.0855 0.4033 50.4273 0.6885
fixed NA C_Sex_comb1:gini_index -0.7127 1.0572 -0.6741 554.6702 0.5005
ran_pars Zipcode_comb sd__(Intercept) 0.0000 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).gini_index NaN NA NA NA NA
ran_pars Zipcode_comb sd__gini_index 0.2131 NA NA NA NA
ran_pars Residual sd__Observation 1.2102 NA NA NA NA
Confidence intervals for the Same Gender model
2.5 % 97.5 %
.sig01 0.0000 2.0943
.sig02 -1.0000 0.3705
.sig03 0.0000 4.3208
.sigma 1.1183 1.2822
(Intercept) 2.2293 4.8001
ageAtTest 0.0170 0.2835
C_Sex_comb1 -0.4393 1.3063
gini_index -1.7248 2.6974
C_Sex_comb1:gini_index -2.6153 1.2983
Summary for the Same Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.2102 -904.48 1826.96 1865.91 1808.96 551

Regression for Other Gender Attitudes

Estimates for the Other Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.9331 0.7724 5.0919 182.368 0.0000
fixed NA ageAtTest -0.0568 0.0870 -0.6520 530.595 0.5147
fixed NA C_Sex_comb1 1.0291 0.5754 1.7885 478.515 0.0743
fixed NA gini_index 0.5264 1.3423 0.3922 83.240 0.6959
fixed NA C_Sex_comb1:gini_index -2.8689 1.2912 -2.2219 480.170 0.0268
ran_pars Zipcode_comb sd__(Intercept) 1.3700 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).gini_index -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__gini_index 2.6868 NA NA NA NA
ran_pars Residual sd__Observation 1.4405 NA NA NA NA
Confidence intervals for the Other Gender model
2.5 % 97.5 %
.sig01 0.0000 3.3603
.sig02 -1.0000 0.0000
.sig03 0.0000 7.1407
.sigma 1.3270 1.5275
(Intercept) 2.2738 5.4109
ageAtTest -0.2138 0.1173
C_Sex_comb1 -0.1590 2.1534
gini_index -2.0414 3.0193
C_Sex_comb1:gini_index -5.3492 -0.3321
Summary for the Other Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.4405 -967.949 1953.9 1992.51 1935.9 530 
## SIMPLE SLOPES ANALYSIS 
## 
## Slope of gini_index when C_Sex_comb = female: 
## 
##    Est.   S.E.   t val.      p
## ------- ------ -------- ------
##   -2.20   1.93    -1.14   0.26
## 
## Slope of gini_index when C_Sex_comb = male: 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   3.60   1.83     1.97   0.05

Regression for Seating

Estimates for the Seating model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) -0.7375 0.7627 -0.9669 528 0.3340
fixed NA ageAtTest 0.2833 0.0881 3.2160 528 0.0014
fixed NA C_Sex_comb1 -0.0053 0.5804 -0.0092 528 0.9927
fixed NA gini_index -0.4769 1.3099 -0.3641 528 0.7159
fixed NA C_Sex_comb1:gini_index 0.2944 1.3044 0.2257 528 0.8215
ran_pars Zipcode_comb sd__(Intercept) 0.0000 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).gini_index NaN NA NA NA NA
ran_pars Zipcode_comb sd__gini_index 0.0000 NA NA NA NA
ran_pars Residual sd__Observation 1.4680 NA NA NA NA
Confidence intervals for the Seating model
2.5 % 97.5 %
.sig01 0.0000 0.3980
.sig02 0.0000 1.0000
.sig03 0.0000 0.7209
.sigma 1.3701 1.5460
(Intercept) -2.2316 0.7087
ageAtTest 0.1076 0.4618
C_Sex_comb1 -1.1372 1.0213
gini_index -3.1358 2.2363
C_Sex_comb1:gini_index -2.1238 2.8085
Summary for the Seating model
sigma logLik AIC BIC REMLcrit df.residual
1.468 -961.24 1940.48 1978.99 1922.48 524

Regression for Resource Allocation

Estimates for the Resource Allocation model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 1.3457 0.5015 2.6835 135.8339 0.0082
fixed NA ageAtTest 0.1273 0.0572 2.2248 548.7618 0.0265
fixed NA C_Sex_comb1 -0.2435 0.3754 -0.6487 549.7114 0.5168
fixed NA gini_index -0.1835 0.8748 -0.2097 49.5118 0.8347
fixed NA C_Sex_comb1:gini_index 1.2753 0.8433 1.5122 549.9250 0.1310
ran_pars Zipcode_comb sd__(Intercept) 0.0000 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).gini_index NaN NA NA NA NA
ran_pars Zipcode_comb sd__gini_index 0.2052 NA NA NA NA
ran_pars Residual sd__Observation 0.9661 NA NA NA NA
Confidence intervals for the Resource Allocation model
2.5 % 97.5 %
.sig01 0.0000 1.7215
.sig02 -1.0000 0.3479
.sig03 0.0000 3.6675
.sigma 0.8986 1.0194
(Intercept) 0.2370 2.3360
ageAtTest 0.0020 0.2449
C_Sex_comb1 -1.0072 0.4480
gini_index -1.9395 1.8102
C_Sex_comb1:gini_index -0.3055 2.9755
Summary for the Resource Allocation model
sigma logLik AIC BIC REMLcrit df.residual
0.9661 -775.989 1569.98 1608.88 1551.98 548

Regression for Sticker Choice

Estimates for the Sticker Choice model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 4.5900 0.6667 6.8846 166.1850 0.0000
fixed NA ageAtTest 0.0065 0.0757 0.0859 568.5361 0.9315
fixed NA C_Sex_comb1 0.7687 0.4972 1.5461 569.1409 0.1226
fixed NA gini_index -1.6696 1.1678 -1.4297 63.2188 0.1577
fixed NA C_Sex_comb1:gini_index 0.0737 1.1171 0.0660 569.2406 0.9474
ran_pars Zipcode_comb sd__(Intercept) 0.0000 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).gini_index NaN NA NA NA NA
ran_pars Zipcode_comb sd__gini_index 0.3137 NA NA NA NA
ran_pars Residual sd__Observation 1.2870 NA NA NA NA
Confidence intervals for the Sticker Choice model
2.5 % 97.5 %
.sig01 0.0000 2.4885
.sig02 -1.0000 0.9092
.sig03 0.0000 5.3661
.sigma 1.1958 1.3630
(Intercept) 3.3581 5.9034
ageAtTest -0.1504 0.1356
C_Sex_comb1 -0.2212 1.7654
gini_index -4.0743 0.6035
C_Sex_comb1:gini_index -2.2270 2.2360
Summary for the Sticker Choice model
sigma logLik AIC BIC REMLcrit df.residual
1.287 -966.94 1951.88 1991.08 1933.88 567

Females unemployed by zipcode

Regression for Same Gender Attitudes

Estimates for the Same Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.8412 0.3981 9.6483 365.6376 0.0000
fixed NA ageAtTest 0.1614 0.0731 2.2079 534.8681 0.0277
fixed NA C_Sex_comb1 0.1091 0.0981 1.1117 488.0882 0.2668
fixed NA unemp_all_f -0.0004 0.0003 -1.2352 29.1496 0.2266
fixed NA C_Sex_comb1:unemp_all_f 0.0001 0.0002 0.3439 510.3028 0.7311
ran_pars Zipcode_comb sd__(Intercept) 1.1437 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).unemp_all_f -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__unemp_all_f 0.0021 NA NA NA NA
ran_pars Residual sd__Observation 1.1524 NA NA NA NA
Confidence intervals for the Same Gender model
2.5 % 97.5 %
.sig01 0.8283 1.4133
.sig02 -1.0000 -0.9580
.sig03 0.0014 0.0027
.sigma 1.0697 1.2280
(Intercept) 3.0233 4.6233
ageAtTest 0.0221 0.3109
C_Sex_comb1 -0.1018 0.3031
unemp_all_f -0.0009 0.0002
C_Sex_comb1:unemp_all_f -0.0003 0.0004
Summary for the Same Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.1524 -937.062 1892.12 1931.08 1874.12 551

Regression for Other Gender Attitudes

Estimates for the Other Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 4.0326 0.4757 8.4766 370.5799 0.0000
fixed NA ageAtTest -0.0364 0.0876 -0.4155 531.5034 0.6780
fixed NA C_Sex_comb1 -0.1830 0.1188 -1.5400 486.0075 0.1242
fixed NA unemp_all_f 0.0001 0.0003 0.2246 18.7012 0.8247
fixed NA C_Sex_comb1:unemp_all_f -0.0001 0.0002 -0.3857 411.6042 0.6999
ran_pars Zipcode_comb sd__(Intercept) 1.3583 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).unemp_all_f -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__unemp_all_f 0.0022 NA NA NA NA
ran_pars Residual sd__Observation 1.3632 NA NA NA NA
Confidence intervals for the Other Gender model
2.5 % 97.5 %
.sig01 0.9297 1.6889
.sig02 -1.0000 -0.9477
.sig03 0.0013 0.0029
.sigma 1.2556 1.4474
(Intercept) 3.0354 5.0229
ageAtTest -0.2322 0.1432
C_Sex_comb1 -0.4427 0.0509
unemp_all_f -0.0007 0.0007
C_Sex_comb1:unemp_all_f -0.0005 0.0004
Summary for the Other Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.3632 -995.16 2008.32 2046.93 1990.32 530

Regression for Seating

Estimates for the Seating model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) -1.0368 0.4870 -2.1289 29.3935 0.0418
fixed NA ageAtTest 0.2656 0.0894 2.9693 311.2139 0.0032
fixed NA C_Sex_comb1 0.1060 0.1209 0.8763 144.7712 0.3823
fixed NA unemp_all_f 0.0003 0.0004 0.9602 0.5979 0.5848
fixed NA C_Sex_comb1:unemp_all_f 0.0000 0.0002 0.1565 54.0746 0.8762
ran_pars Zipcode_comb sd__(Intercept) 1.3837 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).unemp_all_f -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__unemp_all_f 0.0023 NA NA NA NA
ran_pars Residual sd__Observation 1.3877 NA NA NA NA
Confidence intervals for the Seating model
2.5 % 97.5 %
.sig01 0.9864 1.7212
.sig02 -1.0000 -0.9432
.sig03 0.0015 0.0030
.sigma 1.2705 1.4715
(Intercept) -1.9067 0.0456
ageAtTest 0.0880 0.4322
C_Sex_comb1 -0.1483 0.3380
unemp_all_f -0.0003 0.0010
C_Sex_comb1:unemp_all_f -0.0004 0.0005
Summary for the Seating model
sigma logLik AIC BIC REMLcrit df.residual
1.3877 -993.007 2004.01 2042.52 1986.01 524

Regression for Resource Allocation

Estimates for the Resource Allocation model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 1.1893 0.3144 3.7828 362.703 0.0002
fixed NA ageAtTest 0.1333 0.0577 2.3111 544.948 0.0212
fixed NA C_Sex_comb1 0.2286 0.0781 2.9273 485.555 0.0036
fixed NA unemp_all_f 0.0001 0.0002 0.3526 19.189 0.7282
fixed NA C_Sex_comb1:unemp_all_f 0.0002 0.0001 1.3964 427.704 0.1633
ran_pars Zipcode_comb sd__(Intercept) 0.9148 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).unemp_all_f -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__unemp_all_f 0.0014 NA NA NA NA
ran_pars Residual sd__Observation 0.9074 NA NA NA NA
Confidence intervals for the Resource Allocation model
2.5 % 97.5 %
.sig01 0.6593 1.1356
.sig02 -1.0000 -0.9466
.sig03 0.0008 0.0019
.sigma 0.8367 0.9635
(Intercept) 0.5487 1.7394
ageAtTest 0.0249 0.2491
C_Sex_comb1 0.0622 0.3928
unemp_all_f -0.0004 0.0005
C_Sex_comb1:unemp_all_f -0.0001 0.0004
Summary for the Resource Allocation model
sigma logLik AIC BIC REMLcrit df.residual
0.9074 -803.889 1625.78 1664.68 1607.78 548

Regression for Sticker Choice

Estimates for the Sticker Choice model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.8926 0.4184 9.3027 330.830 0.0000
fixed NA ageAtTest 0.0069 0.0763 0.0903 556.452 0.9281
fixed NA C_Sex_comb1 0.9240 0.1022 9.0434 500.518 0.0000
fixed NA unemp_all_f -0.0001 0.0004 -0.2884 12.712 0.7777
fixed NA C_Sex_comb1:unemp_all_f -0.0003 0.0002 -1.4145 564.249 0.1578
ran_pars Zipcode_comb sd__(Intercept) 1.2121 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).unemp_all_f -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__unemp_all_f 0.0026 NA NA NA NA
ran_pars Residual sd__Observation 1.2225 NA NA NA NA
Confidence intervals for the Sticker Choice model
2.5 % 97.5 %
.sig01 0.8608 1.5198
.sig02 -1.0000 -0.9630
.sig03 0.0018 0.0032
.sigma 1.1310 1.2944
(Intercept) 3.1057 4.7604
ageAtTest -0.1491 0.1506
C_Sex_comb1 0.7104 1.1212
unemp_all_f -0.0009 0.0006
C_Sex_comb1:unemp_all_f -0.0006 0.0001
Summary for the Sticker Choice model
sigma logLik AIC BIC REMLcrit df.residual
1.2225 -996.639 2011.28 2050.48 1993.28 567

Percent college graduates by zipcode

Regression for Same Gender Attitudes

Estimates for the Same Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.4516 0.4766 7.2425 555 0.0000
fixed NA ageAtTest 0.1615 0.0714 2.2618 555 0.0241
fixed NA C_Sex_comb1 0.6722 0.3144 2.1378 555 0.0330
fixed NA all_col_grad 0.5692 0.7070 0.8052 555 0.4211
fixed NA C_Sex_comb1:all_col_grad -1.2482 0.7087 -1.7611 555 0.0788
ran_pars Zipcode_comb sd__(Intercept) 0.0000 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).all_col_grad NaN NA NA NA NA
ran_pars Zipcode_comb sd__all_col_grad 0.0000 NA NA NA NA
ran_pars Residual sd__Observation 1.2102 NA NA NA NA
Confidence intervals for the Same Gender model
2.5 % 97.5 %
.sig01 0.0000 0.2898
.sig02 -1.0000 0.0000
.sig03 0.0000 0.6186
.sigma 1.1153 1.2882
(Intercept) 2.4227 4.3694
ageAtTest 0.0201 0.2967
C_Sex_comb1 0.0728 1.2744
all_col_grad -0.8980 2.0921
C_Sex_comb1:all_col_grad -2.6568 0.1127
Summary for the Same Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.2102 -903.624 1825.25 1864.2 1807.25 551

Regression for Other Gender Attitudes

Estimates for the Other Gender model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 3.6599 0.5884 6.2203 321.828 0.0000
fixed NA ageAtTest -0.0478 0.0871 -0.5491 528.740 0.5831
fixed NA C_Sex_comb1 0.0260 0.3880 0.0671 442.000 0.9465
fixed NA all_col_grad 1.0501 0.8870 1.1839 139.509 0.2385
fixed NA C_Sex_comb1:all_col_grad -0.5934 0.8742 -0.6787 488.945 0.4976
ran_pars Zipcode_comb sd__(Intercept) 0.2765 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).all_col_grad -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__all_col_grad 0.2681 NA NA NA NA
ran_pars Residual sd__Observation 1.4542 NA NA NA NA
Confidence intervals for the Other Gender model
2.5 % 97.5 %
.sig01 0.0000 1.8756
.sig02 -1.0000 1.0000
.sig03 0.0000 4.0257
.sigma 1.3401 1.5319
(Intercept) 2.5235 4.9136
ageAtTest -0.2207 0.1172
C_Sex_comb1 -0.8351 0.8170
all_col_grad -0.5688 2.7096
C_Sex_comb1:all_col_grad -2.4005 1.3438
Summary for the Other Gender model
sigma logLik AIC BIC REMLcrit df.residual
1.4542 -970.925 1959.85 1998.46 1941.85 530

Regression for Seating

Estimates for the Seating model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) -0.6736 0.5926 -1.1367 250.2755 0.2567
fixed NA ageAtTest 0.2931 0.0877 3.3407 526.4748 0.0009
fixed NA C_Sex_comb1 0.6124 0.3922 1.5613 303.3730 0.1195
fixed NA all_col_grad -0.7561 0.8913 -0.8483 80.0781 0.3988
fixed NA C_Sex_comb1:all_col_grad -1.1204 0.8829 -1.2690 343.4721 0.2053
ran_pars Zipcode_comb sd__(Intercept) 0.7220 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).all_col_grad -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__all_col_grad 1.5488 NA NA NA NA
ran_pars Residual sd__Observation 1.4602 NA NA NA NA
Confidence intervals for the Seating model
2.5 % 97.5 %
.sig01 0.0000 2.1742
.sig02 -1.0000 0.0000
.sig03 0.0000 4.8050
.sigma 1.3477 1.5346
(Intercept) -1.9344 0.4848
ageAtTest 0.1062 0.4669
C_Sex_comb1 -0.1689 1.3148
all_col_grad -2.5407 1.0689
C_Sex_comb1:all_col_grad -2.7287 0.5868
Summary for the Seating model
sigma logLik AIC BIC REMLcrit df.residual
1.4602 -960.952 1939.9 1978.41 1921.9 524

Regression for Resource Allocation

Estimates for the Resource Allocation model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 1.5558 0.3898 3.9915 268.466 0.0001
fixed NA ageAtTest 0.1208 0.0570 2.1196 549.975 0.0345
fixed NA C_Sex_comb1 0.0150 0.2548 0.0589 382.403 0.9530
fixed NA all_col_grad -0.5841 0.5939 -0.9835 86.923 0.3281
fixed NA C_Sex_comb1:all_col_grad 0.6946 0.5736 1.2108 422.517 0.2266
ran_pars Zipcode_comb sd__(Intercept) 0.7369 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).all_col_grad -1.0000 NA NA NA NA
ran_pars Zipcode_comb sd__all_col_grad 1.6665 NA NA NA NA
ran_pars Residual sd__Observation 0.9628 NA NA NA NA
Confidence intervals for the Resource Allocation model
2.5 % 97.5 %
.sig01 0.0000 1.5757
.sig02 -1.0000 0.9998
.sig03 0.0000 3.6090
.sigma 0.8933 1.0164
(Intercept) 0.8533 2.3909
ageAtTest 0.0096 0.2243
C_Sex_comb1 -0.4848 0.5061
all_col_grad -1.8765 0.5445
C_Sex_comb1:all_col_grad -0.4223 1.8070
Summary for the Resource Allocation model
sigma logLik AIC BIC REMLcrit df.residual
0.9628 -776.667 1571.33 1610.24 1553.33 548

Regression for Sticker Choice

Estimates for the Sticker Choice model
effect group term estimate std.error statistic df p.value
fixed NA (Intercept) 4.6014 0.4977 9.2462 471.999 0.0000
fixed NA ageAtTest 0.0036 0.0750 0.0483 565.946 0.9615
fixed NA C_Sex_comb1 0.0968 0.3258 0.2971 568.869 0.7665
fixed NA all_col_grad -1.6625 0.7453 -2.2306 178.251 0.0270
fixed NA C_Sex_comb1:all_col_grad 1.5959 0.7363 2.1677 570.532 0.0306
ran_pars Zipcode_comb sd__(Intercept) 0.0000 NA NA NA NA
ran_pars Zipcode_comb cor__(Intercept).all_col_grad NaN NA NA NA NA
ran_pars Zipcode_comb sd__all_col_grad 0.2653 NA NA NA NA
ran_pars Residual sd__Observation 1.2797 NA NA NA NA
Confidence intervals for the Sticker Choice model
2.5 % 97.5 %
.sig01 0.0000 1.7110
.sig02 -1.0000 0.7567
.sig03 0.0000 3.7455
.sigma 1.1894 1.3450
(Intercept) 3.6869 5.6281
ageAtTest -0.1478 0.1473
C_Sex_comb1 -0.4702 0.6982
all_col_grad -3.1397 -0.2026
C_Sex_comb1:all_col_grad 0.1854 2.8319
Summary for the Sticker Choice model
sigma logLik AIC BIC REMLcrit df.residual
1.2797 -963.677 1945.35 1984.56 1927.35 567