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Testing for coefficient differences b... |
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Dear Drs Muthen, I'm running two separate models using the same sample. The models only differ in one latent dependent variable (MK / PR, both have the same metric): Model 1: EM by EG01_01 EG01_03G; EM on F1_ARGUD; EM on F2_UMFRD; MK by MK01_01G MK01_03G; MK on F1_ARGUD; MK on F2_UMFRD; MK on EM; Model 2: EM by EG01_01 EG01_03G; EM on F1_ARGUD; EM on F2_UMFRD; PR by PR02_01 PR02_02; PR on F1_ARGUD; PR on F2_UMFRD; PR on EM; I want to test if the differences between the path coefficients are significant, namely: "MK on F1_ARGUD" compared to "PR on F1_ARGUD" "MK on F2_UMFRD" compared to "PR on F2_UMFRD" "MK on EM" compared to "PR on EM" I already used the "model test" command, but I'm still uncertain if it makes sense in my case: EM by EG01_01 EG01_03G; EM on F1_ARGUD; EM on F2_UMFRD; MK by MK01_01G MK01_03G; MK on F1_ARGUD (p1); MK on F2_UMFRD (p2); MK on EM (p3); PR by PR02_01 PR02_02; PR on F1_ARGUD (p1b); PR on F2_UMFRD (p2b); PR on EM (p3b); model test: 0 = p1 - p1b; 0 = p2 - p2b; 0 = p3 - p3b; Thanks for your help! |
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MK and PR need to have at least metric invariance, that is, the loadings need to be equal. You say the two factors have the same metric but I don't know what you mean by that. If you have different factor indicators it seems hard to argue invariance. But Model Test is right in principle. |
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