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Jinxin ZHU posted on Thursday, August 29, 2013 - 4:19 am
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I am now using Type=Imputation, to conduct multigroup multilevel path analysis based on plausible value. I encountered three problems. 1. When testing the equality of the path coefficient. E.g. Model test: F_1=M_1; F_2=M_2; I got a significant result. However, when I do the test separately in two run, each of them was not significant? Which result should I rely on? 2. I tried DIFFTEST; however, I cannot find a proper method of estimation to run DIFFTEST and multigroup multilevel analysis in one run. Do you have any suggestion? 3.Is there any way to compute indirect effect when using "TYPE=Imputation" for plausible value? Many thanks. |
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1-2. MODEL TEST computes a joint test which is more powerful. You should use MODEL TEST. 3. Use the MODEL CONSTRAINT command. |
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Jinxin ZHU posted on Saturday, October 18, 2014 - 6:35 am
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Dear Linda, 1-2. For Model Test, you mean LR test right? I am now using PV (5 sets), and got that: "The loglikelihood cannot be used directly for chi-square testing with imputed data". 4. Would you please suggest how to use the loglikelihood based on PV for LR test? Thank you very much. |
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Jinxin ZHU posted on Saturday, October 18, 2014 - 6:47 am
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Dear Linda, Sorry for the bothering. Please ignore or delete the previous questions. I meant: I want to compare nested models using PV (5 sets). So I should conducted a LR test, but "the loglikelihood cannot be used directly for chi-square testing with imputed data". Would you please suggest how to use the loglikelihood based on PV for LR test? Many thanks. |
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See MODEL TEST in the user's guide. It is a Wald test. You can't use the loglikelihood for difference testing with imputed data. |
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