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Multilevel CFA with continous latent ... |
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Dear Professors, I am trying to run a homologous multilevel CFA, meaning I am testing whether construct Y is equivalence at different levels of observation (individuals and teams). Although the variables in the model are continuous, it happened that I had a better model fit when using ESTIMATION = WLSM (instead of the recomended MUML). This is part of the sintax I am using: ANALYSIS: TYPE = TWOLEVEL; ESTIMATOR = wlsm; ITERATIONS = 100000; CONVERGENCE = 0.00005; MODEL: %BETWEEN% xbtik BY ik1-ik10; xbttk BY tk1-tk10; ik-ik10@0; tk1-tk10@0; %WITHIN% xwtik BY ik1-iki10; xwttk BY tk1-tk10; OUTPUT: Stand Res; Hope you can help me. Best regards Pedro |
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I'm not sure why you think MUML is recommended. The default is MLR. |
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