

ESEM with correlation matrix? 

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I'm wondering if It's really impossible to use correlation matrix type as input data when I want to use ESEM. Please let me know how to use ESEM with summary data such as correlation matrix. Here is my syntax: DATA: FILE IS "L.txt"; TYPE IS CORRELATION; NOBSERVATIONS ARE 300; VARIABLE: NAMES ARE V1V10; USEVARIABLES ARE V1V10; ANALYSIS: ROWSTANDARDIZATION IS KAISER; ESTIMATOR IS MLR; MODEL: F1F2 BY V1V10(*1); ERROR message: EFA factors are not allowed with summary data. EFA factors are declared with (*label). 


We require individuallevel data for ESEM. 


Linda, Thanks a alot!!! 


Dear Muthens, I have used ESEM approach to EFA, by testing loading invariance in two groups. My results provide support for metric invariance, but loadings are equal only for unstandardized solution. I know that standardized coefficients are different in two groups because raw coefficients are standardized using groupspecific model estimated standard deviations. However, for reviewers these results seem to be somewhat confusing and they asked for some additional explanation. My question: is there a way to run MGEFA analysis that would also give me equal standardized coefficients? 


No. Standardization is done using the standard errors for each group. The only way they would be equal is if each group has the same standard errors. 

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