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Constraining paths across levels |
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I have few questions about my analyses and the interpretation of my results for a two-level SEM: 1) Do I need to constrain path across the within and between models? 2) Should I be specifying residual error variances? If so, what will this tell me? 3) Am I specifying covariances correctly? What does this tell me? CLUSTER = ID; BETWEEN = SPP IPP ESPP; analysis: TYPE = TWOLEVEL RANDOM; model: %WITHIN% !measurement model DISCw BY MDI APS DEQ; PSPSw BY PROM DISCLO DISPL; DAw BY POMSD DACLG PANASX; PM_BEw BY PM_BULIT PM_EDIB PM_EDDS; N_DISCw BY N_MDI N_APS N_DEQ; !variances and covariances PSPSw DAw PM_BEw N_DISCw; !path coefficients PSPSw ON DISCw; DAw ON PSPSw; PM_BEw ON DAw; N_DISCw ON PM_BEw; %BETWEEN% !measurement model SPPb BY SPP IPP ESPP; DISCb BY MDI APS DEQ; PSPSb BY PROM DISCLO DISPL; DAb BY POMSD DACLG PANASX; PM_BEb BY PM_BULIT PM_EDIB PM_EDDS; N_DISCb BY N_MDI N_APS N_DEQ; !variances and covariances DISCb PSPSb DAb PM_BEb N_DISCb; !path coefficients DISCb ON SPPb; PSPSb ON SPPb; DAb ON SPPb; PM_BEb ON SPPb; N_DISCb ON SPPb; PSPSb ON DISCb; DAb ON PSPSb; PM_BEb ON DAb; N_DISCb ON PM_BEb; |
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These questions are too broad to be addressed on Mplus Discussion. I would suggest that you listen to the Topics 7 and 8 course videos on the website. |
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