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Misuse of Confirmatory Factor Analysis
We are uncomfortable. As a scientist and biostatistician, we feel rather uncomfortable whenever people misuse an analytical method by violating necessary assumptions, which eventually leads to an inappropriate method for the situation. For example, more often than not, we use an ordinary regression model even when clustering is suspected, assuming that the sample is homogeneous. Indeed, in many cases we need to relax the assumptions of a method, because no other methods exist that are precisely suitable for the dataset. However, what if there are some methods and we are simply not aware of these better methods? What if our ignorance leads us to misuse a method? Among such disasters of the misuse of methodology, confirmatory factor analysis (CFA) would be one of the representative examples....read more Submit manuscript online
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