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In the model below the between-level is saturated (df=0) yet returns a between-level SRMR of .036 - it should be 0.00. ANALYSIS: TYPE= TWOLEVEL RANDOM; ESTIMATOR = MLR; H1ITERATIONS = 10000; MODEL: %BETWEEN% T1K_1 WITH T1K_2; T1K_1 -T1K_2 WITH T1K_3; T1K_1 -T1K_3 WITH T1K_4; T1K_1 -T1K_4 WITH T1K_5; T1K_1 - T1K_5; %WITHIN% F1 BY T1K_1 -T1K_5; T1K_1 - T1K_5; Am I missing something hear? Is a saturated between-level model not possible with MLR (or even BAYES for that matter)??? |
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In ML SW(Sigma-within) and SB(Sigma-between) are not fitted independently of each other. Restrictions on the within level could affect the estimates on the between. You can use the residual output option for more information. |
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