%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 1 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER The MIXED Procedure Class Level Information Class Levels Values GENDER 2 0 1 CHILD 27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 ML Estimation Iteration History Iteration Evaluations Objective Criterion 0 1 279.75103669 1 2 220.43431524 1.16632499 2 1 217.69797585 1.23326209 3 1 209.40566216 0.01954268 4 2 208.39192245 0.00645800 5 1 207.61559842 0.00056866 6 1 207.55246680 0.00000764 7 1 207.55166577 0.00000000 Convergence criteria met. Covariance Parameter Estimates (MLE) Cov Parm Subject Group Estimate UN(1,1) CHILD 3.19780903 UN(2,1) CHILD -0.11029794 UN(2,2) CHILD 0.01976101 DIAG CHILD GENDER 0 0.44488717 DIAG CHILD GENDER 1 2.62939151 Model Fitting Information for DISTANCE Description Value Observations 108.0000 Log Likelihood -203.021 Akaike's Information Criterion -208.021 Schwarz's Bayesian Criterion -214.727 -2 Log Likelihood 406.0424 Null Model LRT Chi-Square 72.1994 Null Model LRT DF 4.0000 Null Model LRT P-Value 0.0000 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 2 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER Solution for Fixed Effects Effect GENDER Estimate Std Error DF t Pr > |t| GENDER 0 17.37272727 0.73858576 54 23.52 0.0001 GENDER 1 16.34062500 1.11138921 54 14.70 0.0001 AGE*GENDER 0 0.47954545 0.06179539 54 7.76 0.0001 AGE*GENDER 1 0.78437500 0.09722094 54 8.07 0.0001 Solution for Random Effects Effect CHILD Estimate SE Pred DF t Pr > |t| INTERCEPT 1 -0.48526442 1.17443057 54 -0.41 0.6811 AGE 1 -0.06819686 0.10166465 54 -0.67 0.5052 INTERCEPT 2 -1.19224033 1.17443057 54 -1.02 0.3146 AGE 2 0.14197574 0.10166465 54 1.40 0.1683 INTERCEPT 3 -0.85346253 1.17443057 54 -0.73 0.4705 AGE 3 0.17726181 0.10166465 54 1.74 0.0869 INTERCEPT 4 1.70243314 1.17443057 54 1.45 0.1530 AGE 4 0.04016851 0.10166465 54 0.40 0.6943 INTERCEPT 5 0.91362520 1.17443057 54 0.78 0.4400 AGE 5 -0.08680329 0.10166465 54 -0.85 0.3970 INTERCEPT 6 -0.67403216 1.17443057 54 -0.57 0.5684 AGE 6 -0.07292102 0.10166465 54 -0.72 0.4763 INTERCEPT 7 -0.05461312 1.17443057 54 -0.05 0.9631 AGE 7 0.03640775 0.10166465 54 0.36 0.7217 INTERCEPT 8 1.93497932 1.17443057 54 1.65 0.1052 AGE 8 -0.11485802 0.10166465 54 -1.13 0.2636 INTERCEPT 9 -0.21898128 1.17443057 54 -0.19 0.8528 AGE 9 -0.11514821 0.10166465 54 -1.13 0.2624 INTERCEPT 10 -2.99738166 1.17443057 54 -2.55 0.0136 AGE 10 -0.09085424 0.10166465 54 -0.89 0.3755 INTERCEPT 11 1.92493785 1.17443057 54 1.64 0.1070 AGE 11 0.15296783 0.10166465 54 1.50 0.1382 INTERCEPT 12 1.34688070 1.43424132 54 0.94 0.3519 AGE 12 0.08787528 0.12316918 54 0.71 0.4786 INTERCEPT 13 -0.86755479 1.43424132 54 -0.60 0.5478 AGE 13 -0.04068462 0.12316918 54 -0.33 0.7424 INTERCEPT 14 -0.35750347 1.43424132 54 -0.25 0.8041 AGE 14 -0.02175655 0.12316918 54 -0.18 0.8605 INTERCEPT 15 1.59461917 1.43424132 54 1.11 0.2711 AGE 15 -0.02772052 0.12316918 54 -0.23 0.8228 INTERCEPT 16 -1.15810989 1.43424132 54 -0.81 0.4229 AGE 16 -0.04152818 0.12316918 54 -0.34 0.7373 INTERCEPT 17 0.89718408 1.43424132 54 0.63 0.5342 AGE 17 0.02259641 0.12316918 54 0.18 0.8551 INTERCEPT 18 -0.68894007 1.43424132 54 -0.48 0.6329 AGE 18 -0.02853455 0.12316918 54 -0.23 0.8177 INTERCEPT 19 -0.14432687 1.43424132 54 -0.10 0.9202 AGE 19 -0.07347941 0.12316918 54 -0.60 0.5533 INTERCEPT 20 -0.12730309 1.43424132 54 -0.09 0.9296 AGE 20 0.02543781 0.12316918 54 0.21 0.8372 INTERCEPT 21 2.53489391 1.43424132 54 1.77 0.0828 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 3 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER Solution for Random Effects Effect CHILD Estimate SE Pred DF t Pr > |t| AGE 21 0.10877165 0.12316918 54 0.88 0.3811 INTERCEPT 22 -0.22608989 1.43424132 54 -0.16 0.8753 AGE 22 -0.08534829 0.12316918 54 -0.69 0.4913 INTERCEPT 23 -0.63735441 1.43424132 54 -0.44 0.6585 AGE 23 0.00650973 0.12316918 54 0.05 0.9580 INTERCEPT 24 -1.70078798 1.43424132 54 -1.19 0.2409 AGE 24 0.11392160 0.12316918 54 0.92 0.3591 INTERCEPT 25 0.23869540 1.43424132 54 0.17 0.8684 AGE 25 -0.03165713 0.12316918 54 -0.26 0.7981 INTERCEPT 26 0.11798597 1.43424132 54 0.08 0.9347 AGE 26 0.06104446 0.12316918 54 0.50 0.6222 INTERCEPT 27 -0.82228876 1.43424132 54 -0.57 0.5688 AGE 27 -0.07544771 0.12316918 54 -0.61 0.5427 Tests of Fixed Effects Source NDF DDF Type III F Pr > F GENDER 2 54 384.72 0.0001 AGE*GENDER 2 54 62.66 0.0001 Predicted Values DISTANCE Predicted SE Pred L95 U95 Residual 21.0000 20.1783 0.4371 19.3019 21.0546 0.8217 20.0000 21.0009 0.3380 20.3234 21.6785 -1.0009 21.5000 21.8236 0.3491 21.1238 22.5235 -0.3236 23.0000 22.6463 0.4626 21.7189 23.5738 0.3537 21.0000 21.1527 0.4371 20.2763 22.0290 -0.1527 21.5000 22.3957 0.3380 21.7181 23.0733 -0.8957 24.0000 23.6387 0.3491 22.9389 24.3386 0.3613 25.5000 24.8818 0.4626 23.9543 25.8092 0.6182 20.5000 21.7737 0.4371 20.8974 22.6501 -1.2737 24.0000 23.0873 0.3380 22.4098 23.7649 0.9127 24.5000 24.4010 0.3491 23.7011 25.1008 0.0990 26.0000 25.7146 0.4626 24.7871 26.6420 0.2854 23.5000 23.2329 0.4371 22.3565 24.1092 0.2671 24.5000 24.2723 0.3380 23.5947 24.9499 0.2277 25.0000 25.3117 0.3491 24.6119 26.0116 -0.3117 26.5000 26.3512 0.4626 25.4237 27.2786 0.1488 21.5000 21.4283 0.4371 20.5519 22.3046 0.0717 23.0000 22.2138 0.3380 21.5362 22.8913 0.7862 22.5000 22.9993 0.3491 22.2994 23.6991 -0.4993 23.5000 23.7847 0.4626 22.8573 24.7122 -0.2847 20.0000 19.9517 0.4371 19.0753 20.8280 0.0483 21.0000 20.7649 0.3380 20.0874 21.4425 0.2351 21.0000 21.5782 0.3491 20.8783 22.2781 -0.5782 22.5000 22.3914 0.4626 21.4640 23.3189 0.1086 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 4 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER Predicted Values DISTANCE Predicted SE Pred L95 U95 Residual 21.5000 21.4457 0.4371 20.5694 22.3221 0.0543 22.5000 22.4776 0.3380 21.8001 23.1552 0.0224 23.0000 23.5096 0.3491 22.8097 24.2094 -0.5096 25.0000 24.5415 0.4626 23.6140 25.4689 0.4585 23.0000 22.2252 0.4371 21.3489 23.1016 0.7748 23.0000 22.9546 0.3380 22.2770 23.6321 0.0454 23.5000 23.6840 0.3491 22.9841 24.3838 -0.1840 24.0000 24.4133 0.4626 23.4859 25.3408 -0.4133 20.0000 20.0689 0.4371 19.1926 20.9453 -0.0689 21.0000 20.7977 0.3380 20.1202 21.4753 0.2023 22.0000 21.5265 0.3491 20.8266 22.2264 0.4735 21.5000 22.2553 0.4626 21.3279 23.1827 -0.7553 16.5000 17.4849 0.4371 16.6085 18.3612 -0.9849 19.0000 18.2623 0.3380 17.5847 18.9398 0.7377 19.0000 19.0396 0.3491 18.3398 19.7395 -0.0396 19.5000 19.8170 0.4626 18.8896 20.7445 -0.3170 24.5000 24.3578 0.4371 23.4814 25.2341 0.1422 25.0000 25.6228 0.3380 24.9452 26.3004 -0.6228 28.0000 26.8878 0.3491 26.1880 27.5877 1.1122 28.0000 28.1529 0.4626 27.2254 29.0803 -0.1529 26.0000 24.6655 0.8103 23.0410 26.2901 1.3345 25.0000 26.4100 0.7353 24.9358 27.8842 -1.4100 29.0000 28.1545 0.7758 26.5990 29.7100 0.8455 31.0000 29.8990 0.9168 28.0610 31.7370 1.1010 21.5000 21.4226 0.8103 19.7980 23.0471 0.0774 22.5000 22.9100 0.7353 21.4358 24.3841 -0.4100 23.0000 24.3974 0.7758 22.8419 25.9528 -1.3974 26.5000 25.8847 0.9168 24.0467 27.7227 0.6153 23.0000 22.0841 0.8103 20.4595 23.7086 0.9159 22.5000 23.6093 0.7353 22.1351 25.0835 -1.1093 24.0000 25.1345 0.7758 23.5791 26.6900 -1.1345 27.5000 26.6598 0.9168 24.8218 28.4978 0.8402 25.5000 23.9885 0.8103 22.3639 25.6130 1.5115 27.5000 25.5018 0.7353 24.0276 26.9760 1.9982 26.5000 27.0151 0.7758 25.4596 28.5706 -0.5151 27.0000 28.5284 0.9168 26.6904 30.3664 -1.5284 20.0000 21.1253 0.8103 19.5007 22.7498 -1.1253 23.5000 22.6110 0.7353 21.1368 24.0852 0.8890 22.5000 24.0967 0.7758 22.5412 25.6522 -1.5967 26.0000 25.5824 0.9168 23.7444 27.4204 0.4176 24.5000 23.6936 0.8103 22.0690 25.3181 0.8064 25.5000 25.3075 0.7353 23.8334 26.7817 0.1925 27.0000 26.9215 0.7758 25.3660 28.4769 0.0785 28.5000 28.5354 0.9168 26.6974 30.3734 -0.0354 22.0000 21.6984 0.8103 20.0739 23.3230 0.3016 22.0000 23.2101 0.7353 21.7359 24.6843 -1.2101 24.5000 24.7218 0.7758 23.1663 26.2773 -0.2218 26.5000 26.2335 0.9168 24.3955 28.0714 0.2665 24.0000 21.8835 0.8103 20.2589 23.5080 2.1165 21.5000 23.3053 0.7353 21.8311 24.7794 -1.8053 24.5000 24.7270 0.7758 23.1716 26.2825 -0.2270 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 5 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER Predicted Values DISTANCE Predicted SE Pred L95 U95 Residual 25.5000 26.1488 0.9168 24.3108 27.9868 -0.6488 23.0000 22.6918 0.8103 21.0673 24.3164 0.3082 20.5000 24.3114 0.7353 22.8373 25.7856 -3.8114 31.0000 25.9311 0.7758 24.3756 27.4866 5.0689 26.0000 27.5507 0.9168 25.7127 29.3887 -1.5507 27.5000 26.0207 0.8103 24.3961 27.6452 1.4793 28.0000 27.8070 0.7353 26.3328 29.2812 0.1930 31.0000 29.5933 0.7758 28.0378 31.1488 1.4067 31.5000 31.3796 0.9168 29.5416 33.2176 0.1204 23.0000 21.7067 0.8103 20.0822 23.3313 1.2933 23.0000 23.1048 0.7353 21.6306 24.5790 -0.1048 23.5000 24.5029 0.7758 22.9474 26.0583 -1.0029 25.0000 25.9009 0.9168 24.0629 27.7389 -0.9009 21.5000 22.0303 0.8103 20.4058 23.6549 -0.5303 23.5000 23.6121 0.7353 22.1379 25.0863 -0.1121 24.0000 25.1939 0.7758 23.6384 26.7494 -1.1939 28.0000 26.7757 0.9168 24.9377 28.6136 1.2243 17.0000 21.8262 0.8103 20.2017 23.4508 -4.8262 24.5000 23.6228 0.7353 22.1486 25.0970 0.8772 26.0000 25.4194 0.7758 23.8639 26.9749 0.5806 29.5000 27.2160 0.9168 25.3780 29.0540 2.2840 22.5000 22.6011 0.8103 20.9765 24.2256 -0.1011 25.5000 24.1065 0.7353 22.6323 25.5807 1.3935 25.5000 25.6119 0.7758 24.0565 27.1674 -0.1119 26.0000 27.1174 0.9168 25.2794 28.9554 -1.1174 23.0000 23.2220 0.8103 21.5974 24.8465 -0.2220 24.5000 24.9128 0.7353 23.4386 26.3870 -0.4128 26.0000 26.6036 0.7758 25.0482 28.1591 -0.6036 30.0000 28.2945 0.9168 26.4565 30.1325 1.7055 22.0000 21.1898 0.8103 19.5652 22.8143 0.8102 21.5000 22.6076 0.7353 21.1334 24.0818 -1.1076 23.5000 24.0255 0.7758 22.4700 25.5809 -0.5255 25.0000 25.4433 0.9168 23.6053 27.2813 -0.4433 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 6 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER The MIXED Procedure Class Level Information Class Levels Values GENDER 2 0 1 CHILD 27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 ML Estimation Iteration History Iteration Evaluations Objective Criterion 0 1 279.75103669 1 2 220.43431524 1.16632499 2 1 217.69797585 1.23326209 3 1 209.40566216 0.01954268 4 2 208.39192245 0.00645800 5 1 207.61559842 0.00056866 6 1 207.55246680 0.00000764 7 1 207.55166577 0.00000000 Convergence criteria met. Covariance Parameter Estimates (MLE) Cov Parm Subject Group Estimate UN(1,1) CHILD 3.19780903 UN(2,1) CHILD -0.11029794 UN(2,2) CHILD 0.01976101 DIAG CHILD GENDER 0 0.44488717 DIAG CHILD GENDER 1 2.62939151 Model Fitting Information for DISTANCE Description Value Observations 108.0000 Log Likelihood -203.021 Akaike's Information Criterion -208.021 Schwarz's Bayesian Criterion -214.727 -2 Log Likelihood 406.0424 Null Model LRT Chi-Square 72.1994 Null Model LRT DF 4.0000 Null Model LRT P-Value 0.0000 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 7 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER Tests of Fixed Effects Source NDF DDF Type III F Pr > F GENDER 2 54 384.72 0.0001 AGE*GENDER 2 54 62.66 0.0001 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 8 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER FIXED EFFECTS OUTPUT DATA SET OBS _EFFECT_ GENDER _EST_ 1 GENDER 0 17.37272727 2 GENDER 1 16.34062500 3 AGE*GENDER 0 0.47954545 4 AGE*GENDER 1 0.78437500 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 9 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER RECONFIGURED FIXED EFFECTS DATA SET OBS GENDER FIXINT FIXSLOPE 1 0 17.3727 0.47955 2 1 16.3406 0.78438 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 10 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER RANDOM EFFECTS OUTPUT DATA SET OBS _EFFECT_ CHILD _EST_ GENDER 1 INTERCEPT 1 -0.48526442 0 2 AGE 1 -0.06819686 0 3 INTERCEPT 2 -1.19224033 0 4 AGE 2 0.14197574 0 5 INTERCEPT 3 -0.85346253 0 6 AGE 3 0.17726181 0 7 INTERCEPT 4 1.70243314 0 8 AGE 4 0.04016851 0 9 INTERCEPT 5 0.91362520 0 10 AGE 5 -0.08680329 0 11 INTERCEPT 6 -0.67403216 0 12 AGE 6 -0.07292102 0 13 INTERCEPT 7 -0.05461312 0 14 AGE 7 0.03640775 0 15 INTERCEPT 8 1.93497932 0 16 AGE 8 -0.11485802 0 17 INTERCEPT 9 -0.21898128 0 18 AGE 9 -0.11514821 0 19 INTERCEPT 10 -2.99738166 0 20 AGE 10 -0.09085424 0 21 INTERCEPT 11 1.92493785 0 22 AGE 11 0.15296783 0 23 INTERCEPT 12 1.34688070 1 24 AGE 12 0.08787528 1 25 INTERCEPT 13 -0.86755479 1 26 AGE 13 -0.04068462 1 27 INTERCEPT 14 -0.35750347 1 28 AGE 14 -0.02175655 1 29 INTERCEPT 15 1.59461917 1 30 AGE 15 -0.02772052 1 31 INTERCEPT 16 -1.15810989 1 32 AGE 16 -0.04152818 1 33 INTERCEPT 17 0.89718408 1 34 AGE 17 0.02259641 1 35 INTERCEPT 18 -0.68894007 1 36 AGE 18 -0.02853455 1 37 INTERCEPT 19 -0.14432687 1 38 AGE 19 -0.07347941 1 39 INTERCEPT 20 -0.12730309 1 40 AGE 20 0.02543781 1 41 INTERCEPT 21 2.53489391 1 42 AGE 21 0.10877165 1 43 INTERCEPT 22 -0.22608989 1 44 AGE 22 -0.08534829 1 45 INTERCEPT 23 -0.63735441 1 46 AGE 23 0.00650973 1 47 INTERCEPT 24 -1.70078798 1 48 AGE 24 0.11392160 1 49 INTERCEPT 25 0.23869540 1 50 AGE 25 -0.03165713 1 51 INTERCEPT 26 0.11798597 1 52 AGE 26 0.06104446 1 53 INTERCEPT 27 -0.82228876 1 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 11 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER RANDOM EFFECTS OUTPUT DATA SET OBS _EFFECT_ CHILD _EST_ GENDER 54 AGE 27 -0.07544771 1 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 12 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER RECONFIGURED RANDOM EFFECTS DATA SET OBS CHILD GENDER RANINT RANSLOPE 1 1 0 -0.48526 -0.06820 2 10 0 -2.99738 -0.09085 3 11 0 1.92494 0.15297 4 2 0 -1.19224 0.14198 5 3 0 -0.85346 0.17726 6 4 0 1.70243 0.04017 7 5 0 0.91363 -0.08680 8 6 0 -0.67403 -0.07292 9 7 0 -0.05461 0.03641 10 8 0 1.93498 -0.11486 11 9 0 -0.21898 -0.11515 12 12 1 1.34688 0.08788 13 13 1 -0.86755 -0.04068 14 14 1 -0.35750 -0.02176 15 15 1 1.59462 -0.02772 16 16 1 -1.15811 -0.04153 17 17 1 0.89718 0.02260 18 18 1 -0.68894 -0.02853 19 19 1 -0.14433 -0.07348 20 20 1 -0.12730 0.02544 21 21 1 2.53489 0.10877 22 22 1 -0.22609 -0.08535 23 23 1 -0.63735 0.00651 24 24 1 -1.70079 0.11392 25 25 1 0.23870 -0.03166 26 26 1 0.11799 0.06104 27 27 1 -0.82229 -0.07545 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FULL RANDOM COEFFICIENT MODEL WITH BOTH 13 INTERCEPTS AND SLOPES RANDOM FOR EACH GENDER RANDOM INTERCEPTS AND SLOPES OBS GENDER FIXINT FIXSLOPE CHILD RANINT RANSLOPE BETA0I BETA1I 1 0 17.3727 0.47955 1 -0.48526 -0.06820 16.8875 0.41135 2 0 17.3727 0.47955 10 -2.99738 -0.09085 14.3753 0.38869 3 0 17.3727 0.47955 11 1.92494 0.15297 19.2977 0.63251 4 0 17.3727 0.47955 2 -1.19224 0.14198 16.1805 0.62152 5 0 17.3727 0.47955 3 -0.85346 0.17726 16.5193 0.65681 6 0 17.3727 0.47955 4 1.70243 0.04017 19.0752 0.51971 7 0 17.3727 0.47955 5 0.91363 -0.08680 18.2864 0.39274 8 0 17.3727 0.47955 6 -0.67403 -0.07292 16.6987 0.40662 9 0 17.3727 0.47955 7 -0.05461 0.03641 17.3181 0.51595 10 0 17.3727 0.47955 8 1.93498 -0.11486 19.3077 0.36469 11 0 17.3727 0.47955 9 -0.21898 -0.11515 17.1537 0.36440 12 1 16.3406 0.78438 12 1.34688 0.08788 17.6875 0.87225 13 1 16.3406 0.78438 13 -0.86755 -0.04068 15.4731 0.74369 14 1 16.3406 0.78438 14 -0.35750 -0.02176 15.9831 0.76262 15 1 16.3406 0.78438 15 1.59462 -0.02772 17.9352 0.75665 16 1 16.3406 0.78438 16 -1.15811 -0.04153 15.1825 0.74285 17 1 16.3406 0.78438 17 0.89718 0.02260 17.2378 0.80697 18 1 16.3406 0.78438 18 -0.68894 -0.02853 15.6517 0.75584 19 1 16.3406 0.78438 19 -0.14433 -0.07348 16.1963 0.71090 20 1 16.3406 0.78438 20 -0.12730 0.02544 16.2133 0.80981 21 1 16.3406 0.78438 21 2.53489 0.10877 18.8755 0.89315 22 1 16.3406 0.78438 22 -0.22609 -0.08535 16.1145 0.69903 23 1 16.3406 0.78438 23 -0.63735 0.00651 15.7033 0.79088 24 1 16.3406 0.78438 24 -1.70079 0.11392 14.6398 0.89830 25 1 16.3406 0.78438 25 0.23870 -0.03166 16.5793 0.75272 26 1 16.3406 0.78438 26 0.11799 0.06104 16.4586 0.84542 27 1 16.3406 0.78438 27 -0.82229 -0.07545 15.5183 0.70893 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 14 INTERCEPTS RANDOM, SLOPES FIXED The MIXED Procedure Class Level Information Class Levels Values GENDER 2 0 1 CHILD 27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 ML Estimation Iteration History Iteration Evaluations Objective Criterion 0 1 279.75103669 1 2 212.78668356 0.01732264 2 1 211.25848523 0.00328703 3 1 210.87440590 0.00011752 4 1 210.86165492 0.00000026 5 1 210.86162779 0.00000000 Convergence criteria met. Covariance Parameter Estimates (MLE) Cov Parm Subject Group Estimate UN(1,1) CHILD 3.14048613 DIAG CHILD GENDER 0 0.59200880 DIAG CHILD GENDER 1 2.72858276 Model Fitting Information for DISTANCE Description Value Observations 108.0000 Log Likelihood -204.676 Akaike's Information Criterion -207.676 Schwarz's Bayesian Criterion -211.699 -2 Log Likelihood 409.3524 Null Model LRT Chi-Square 68.8894 Null Model LRT DF 2.0000 Null Model LRT P-Value 0.0000 Solution for Fixed Effects Effect GENDER Estimate Std Error DF t Pr > |t| GENDER 0 17.37272727 0.79029003 79 21.98 0.0001 GENDER 1 16.34062500 1.12723549 79 14.50 0.0001 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 15 INTERCEPTS RANDOM, SLOPES FIXED Solution for Fixed Effects Effect GENDER Estimate Std Error DF t Pr > |t| AGE*GENDER 0 0.47954545 0.05187436 79 9.24 0.0001 AGE*GENDER 1 0.78437500 0.09234079 79 8.49 0.0001 Solution for Random Effects Effect CHILD Estimate SE Pred DF t Pr > |t| INTERCEPT 1 -1.21544672 0.64342111 79 -1.89 0.0626 INTERCEPT 2 0.33641829 0.64342111 79 0.52 0.6025 INTERCEPT 3 1.05266368 0.64342111 79 1.64 0.1058 INTERCEPT 4 2.12703176 0.64342111 79 3.31 0.0014 INTERCEPT 5 -0.02170441 0.64342111 79 -0.03 0.9732 INTERCEPT 6 -1.45419518 0.64342111 79 -2.26 0.0266 INTERCEPT 7 0.33641829 0.64342111 79 0.52 0.6025 INTERCEPT 8 0.69454098 0.64342111 79 1.08 0.2837 INTERCEPT 9 -1.45419518 0.64342111 79 -2.26 0.0266 INTERCEPT 10 -3.96105404 0.64342111 79 -6.16 0.0001 INTERCEPT 11 3.55952253 0.64342111 79 5.53 0.0001 INTERCEPT 12 2.28493809 0.84951258 79 2.69 0.0087 INTERCEPT 13 -1.30934655 0.84951258 79 -1.54 0.1272 INTERCEPT 14 -0.59048962 0.84951258 79 -0.70 0.4890 INTERCEPT 15 1.36069347 0.84951258 79 1.60 0.1132 INTERCEPT 16 -1.61742809 0.84951258 79 -1.90 0.0606 INTERCEPT 17 1.15530578 0.84951258 79 1.36 0.1777 INTERCEPT 18 -1.00126501 0.84951258 79 -1.18 0.2421 INTERCEPT 19 -0.89857116 0.84951258 79 -1.06 0.2934 INTERCEPT 20 0.12836731 0.84951258 79 0.15 0.8803 INTERCEPT 21 3.72265194 0.84951258 79 4.38 0.0001 INTERCEPT 22 -1.10395885 0.84951258 79 -1.30 0.1975 INTERCEPT 23 -0.59048962 0.84951258 79 -0.70 0.4890 INTERCEPT 24 -0.59048962 0.84951258 79 -0.70 0.4890 INTERCEPT 25 -0.07702039 0.84951258 79 -0.09 0.9280 INTERCEPT 26 0.74453039 0.84951258 79 0.88 0.3835 INTERCEPT 27 -1.61742809 0.84951258 79 -1.90 0.0606 Tests of Fixed Effects Source NDF DDF Type III F Pr > F GENDER 2 79 346.69 0.0001 AGE*GENDER 2 79 78.81 0.0001 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 16 INTERCEPTS RANDOM, SLOPES FIXED The MIXED Procedure Class Level Information Class Levels Values GENDER 2 0 1 CHILD 27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 ML Estimation Iteration History Iteration Evaluations Objective Criterion 0 1 279.75103669 1 2 212.78668356 0.01732264 2 1 211.25848523 0.00328703 3 1 210.87440590 0.00011752 4 1 210.86165492 0.00000026 5 1 210.86162779 0.00000000 Convergence criteria met. Covariance Parameter Estimates (MLE) Cov Parm Subject Group Estimate UN(1,1) CHILD 3.14048613 DIAG CHILD GENDER 0 0.59200880 DIAG CHILD GENDER 1 2.72858276 Model Fitting Information for DISTANCE Description Value Observations 108.0000 Log Likelihood -204.676 Akaike's Information Criterion -207.676 Schwarz's Bayesian Criterion -211.699 -2 Log Likelihood 409.3524 Null Model LRT Chi-Square 68.8894 Null Model LRT DF 2.0000 Null Model LRT P-Value 0.0000 Tests of Fixed Effects Source NDF DDF Type III F Pr > F GENDER 2 79 346.69 0.0001 AGE*GENDER 2 79 78.81 0.0001 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 17 INTERCEPTS RANDOM, SLOPES FIXED FIXED EFFECTS OUTPUT DATA SET OBS _EFFECT_ GENDER _EST_ 1 GENDER 0 17.37272727 2 GENDER 1 16.34062500 3 AGE*GENDER 0 0.47954545 4 AGE*GENDER 1 0.78437500 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 18 INTERCEPTS RANDOM, SLOPES FIXED RECONFIGURED FIXED EFFECTS DATA SET OBS GENDER FIXINT FIXSLOPE 1 0 17.3727 0.47955 2 1 16.3406 0.78438 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 19 INTERCEPTS RANDOM, SLOPES FIXED RANDOM EFFECTS OUTPUT DATA SET OBS _EFFECT_ CHILD _EST_ GENDER 1 INTERCEPT 1 -1.21544672 0 2 INTERCEPT 2 0.33641829 0 3 INTERCEPT 3 1.05266368 0 4 INTERCEPT 4 2.12703176 0 5 INTERCEPT 5 -0.02170441 0 6 INTERCEPT 6 -1.45419518 0 7 INTERCEPT 7 0.33641829 0 8 INTERCEPT 8 0.69454098 0 9 INTERCEPT 9 -1.45419518 0 10 INTERCEPT 10 -3.96105404 0 11 INTERCEPT 11 3.55952253 0 12 INTERCEPT 12 2.28493809 1 13 INTERCEPT 13 -1.30934655 1 14 INTERCEPT 14 -0.59048962 1 15 INTERCEPT 15 1.36069347 1 16 INTERCEPT 16 -1.61742809 1 17 INTERCEPT 17 1.15530578 1 18 INTERCEPT 18 -1.00126501 1 19 INTERCEPT 19 -0.89857116 1 20 INTERCEPT 20 0.12836731 1 21 INTERCEPT 21 3.72265194 1 22 INTERCEPT 22 -1.10395885 1 23 INTERCEPT 23 -0.59048962 1 24 INTERCEPT 24 -0.59048962 1 25 INTERCEPT 25 -0.07702039 1 26 INTERCEPT 26 0.74453039 1 27 INTERCEPT 27 -1.61742809 1 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 20 INTERCEPTS RANDOM, SLOPES FIXED RECONFIGURED RANDOM EFFECTS DATA SET OBS CHILD GENDER RANINT 1 1 0 -1.21545 2 10 0 -3.96105 3 11 0 3.55952 4 2 0 0.33642 5 3 0 1.05266 6 4 0 2.12703 7 5 0 -0.02170 8 6 0 -1.45420 9 7 0 0.33642 10 8 0 0.69454 11 9 0 -1.45420 12 12 1 2.28494 13 13 1 -1.30935 14 14 1 -0.59049 15 15 1 1.36069 16 16 1 -1.61743 17 17 1 1.15531 18 18 1 -1.00127 19 19 1 -0.89857 20 20 1 0.12837 21 21 1 3.72265 22 22 1 -1.10396 23 23 1 -0.59049 24 24 1 -0.59049 25 25 1 -0.07702 26 26 1 0.74453 27 27 1 -1.61743 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MODIFIED RANDOM COEFFICIENT MODEL WITH 21 INTERCEPTS RANDOM, SLOPES FIXED RANDOM INTERCEPTS AND FIXED SLOPES OBS GENDER FIXINT FIXSLOPE CHILD RANINT BETA0I BETA1I 1 0 17.3727 0.47955 1 -1.21545 16.1573 0.47955 2 0 17.3727 0.47955 10 -3.96105 13.4117 0.47955 3 0 17.3727 0.47955 11 3.55952 20.9322 0.47955 4 0 17.3727 0.47955 2 0.33642 17.7091 0.47955 5 0 17.3727 0.47955 3 1.05266 18.4254 0.47955 6 0 17.3727 0.47955 4 2.12703 19.4998 0.47955 7 0 17.3727 0.47955 5 -0.02170 17.3510 0.47955 8 0 17.3727 0.47955 6 -1.45420 15.9185 0.47955 9 0 17.3727 0.47955 7 0.33642 17.7091 0.47955 10 0 17.3727 0.47955 8 0.69454 18.0673 0.47955 11 0 17.3727 0.47955 9 -1.45420 15.9185 0.47955 12 1 16.3406 0.78438 12 2.28494 18.6256 0.78438 13 1 16.3406 0.78438 13 -1.30935 15.0313 0.78438 14 1 16.3406 0.78438 14 -0.59049 15.7501 0.78438 15 1 16.3406 0.78438 15 1.36069 17.7013 0.78438 16 1 16.3406 0.78438 16 -1.61743 14.7232 0.78438 17 1 16.3406 0.78438 17 1.15531 17.4959 0.78438 18 1 16.3406 0.78438 18 -1.00127 15.3394 0.78438 19 1 16.3406 0.78438 19 -0.89857 15.4421 0.78438 20 1 16.3406 0.78438 20 0.12837 16.4690 0.78438 21 1 16.3406 0.78438 21 3.72265 20.0633 0.78438 22 1 16.3406 0.78438 22 -1.10396 15.2367 0.78438 23 1 16.3406 0.78438 23 -0.59049 15.7501 0.78438 24 1 16.3406 0.78438 24 -0.59049 15.7501 0.78438 25 1 16.3406 0.78438 25 -0.07702 16.2636 0.78438 26 1 16.3406 0.78438 26 0.74453 17.0852 0.78438 27 1 16.3406 0.78438 27 -1.61743 14.7232 0.78438