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Dear All, I am trying to test approximate measurement invariance (AMI) of a three-item scale across 22 countries, and while doing so, I have encountered three different ways of parameterization. 1. Free all loadings and intercepts; fix factor means @ 0 for the reference group; fix factor variance @ 1 for all the groups (http://daob.nl/wp-content/papercite-data/pdf/lek2017approximate.pdf.) 2. Free all loadings and intercepts; fix factor means of the reference group @ 0, and factor variance of that group @ 1. (https://www.statmodel.com/download/usersguide/Chapter5.pdf) 3. I also tried freeing all loadings, intercepts, and factor means, while fixing only the factor variance of the reference group @ 1. The model still converged and provided reasonable estimates. I wonder what is the theoretical difference between these three approaches, which one is preferred, and which one is perhaps wrong? Many thanks! Kind regards, Qixiang |
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1. Are you referring to the input in Figure 4 of that document? 2. Which example are you referring to here? 3. I would have to see the full output - send your output to Support along with your license number. |
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Dear Prof. Muthen, 1. Yes. 2. Example 5.33 3. I will send it right away! Thanks a lot! Best, Qixiang |
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