I have four groupings and doing multigroup analysis. My knowledge with mlpus is not strong enough for me to write a a further syntax to be able to do a pairwise analysis. What I've been doing is to change the reference group in four different analysis . I realized with the four different outputs the unstandardized estimates are the same but the standardized are different(very little). since the standardized estimates are different i am force to use the unstandardized estimates and interprete them but now i have the problem how to interprets them. can i get help on how to write one syntax for this pairwise comparison.I have Mplus license. secondly and how do i interpret the unstandardized estimates.
I am doing multigroup analysis with four groups(gp). i want to a pairwise analysis.that is for instance making gp 1 the reference and compare, then gp 2 the reference group and compare till all four gp are mad reference group in four different analysis. I realized with the four different outputs the unstandardized estimates are the same but the standardized are different(very little). can i get help on how to write one syntax for this pairwise comparison.
Hi Linda, One thing i have observe is that if your doing multigroup analysis, the estimates and interpretation is simple with two or three groups. with two groups the reference group dont matter because the factor mean estimates are the same in a reverse order if you change the reference group. but with three groupings the factor mean estimates are in a reverse order ONLY for the unstandardized estimates. but with four groups whenever you change the reference group the mean estimates are different for both standardized and unstandardized estimates. Is it normal? I have send an output for my work on four groups whereby i change the reference group in each model for your attention and advice.
Basic multiple-group theory implies that changing the group changes the scale of the factor means so you should not expect that a test against zero gives the same result. Instead, you should focus on testing the difference between two factor means which can be done using Model Constraint where the difference is a New parameter.
I n reference to the above discussion. i've tried the following syntax but not working for me.I have 4 groups. model: CP BY A8 A10 A11 A12 A15 A19 A22 B3 B4 B8 B10 A25(lam#1-lam#12); SUC BY B9 B2 B1 B15(lam#13-lam#16); TECH BY A26 A24 A27 A21 A3 A6(lam#17-lam#22); FAM BY A23 A17 A18(lam#23-lam#25); B3 WITH B4;
MODEL CONSTRAINT: NEW(diff1 diff2 diff3 diff4 diff5); Do(1,25)diff#=lambda1# – lambda4#;
the first error is *** ERROR Unknown parameter label in MODEL CONSTRAINT: LAMBDA11 which i cannot fix. will appreciate if i get help in writing this syntax.
I have Mplus Base Program and Multilevel Add-On but cannot perform Example 5.33. it is nornal. i get the error "This analysis is only available with the Mixture or Combination Add-On." but Multilevel Add-On is higher than mixture. Is it normal