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I have used growth curve modeling based on raw scores. I wonder if I can somehow incorporate multiple scores by multiple reporters on the same construct. Using standardized scores at each measurement wouldn't make sense. What would be the best way, if any, that I can look at the growth curves of the scores that "combine" multiple reporters? May I use factor scores based on confirmatory factor analyses at each occasion? Thanks very much! Jungmeen at Virginia Tech 


See if Example 6.14 helps you. 

Researcher posted on Tuesday, December 20, 2005  7:32 am



Hi, My model is like the one in Example 6.14. Is it okay to let the residuals of the factor indicators to correlate (=three factor indicators, two indicators/ factor)? Otherwise the RMSEA estimate is too large. Also, why the growth curve examples in the manual are described in terms of random effects of the factor indicators? I see many researchers using the program by defining intercept and trend factors with the usual "BY" command. Thank you! 

bmuthen posted on Tuesday, December 20, 2005  8:18 am



Yes, if the residual correlations for the factor indicators make substantive sense. The term random effects is used by statisticians for what behavioral scientists now tend to call growth factors  same thing. You can use the BY statement or the newer growth language using the bar (  ) statement. 


Dear Linda and Bengt, It's awesome to know that I can use Mplus to test a "multiple indicator growth model" that looks like a second order factor analysis model. Thanks for your helpful answers and guidance. Merry Christmas!! 


I'm glad you think it is awesome but it has been available since 1998 when Mplus first came out. Merry Christmas to you too. 


I would like to use factor scores from CFA in a growth curve model (I do not have enough power for a multiple indicator growth curve model). Is there a way that I can use the mean and SD from the first measurement occasion for the repeated measures so that they represent changes in SD units across occasions? Thanks! 


I think instead you want to impose measurement invariance over time in your CFA so that you get the scores in comparable metric. You may also want to seek the opinion of SEMNET. 

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