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Have you considered the bifactor measurement model? From what I can glean from your question, it looks as though you are interested in a single social norms dimension, with an item bank that could reasonably be used to measure very different dimensions (e.g., alcohol abuse). If I am correct, the bifactor model may be the solution you are looking for. It ...


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I would say it depends on your end goal. First, if you don't do the grouping, theres a lot more parameters in your models to be estimated. A rule of thumb is to have at least 10 observations per parameter. If in your final analysis you are interested in only the larger groupings, then it might be worthwhile to only regress over the groupings. This is similar ...


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Yes absolutely, you could run 4 EFAs to assess the dimensionality of sub-scales. However, you could also run a confirmatory factor analysis (CFA) with four latent factors - one for each translation strategy. If you are already reasonably certain there are four sub-scales, then why not go ahead and assess whether such a factor structure can adequately ...


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