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Good evening I wonder why we can use SEM to analyze data with a non-normal distribution. Because I already know that the factor can have a normal distribution even when the data have a non-normal distribution. However, I'm have problems understanding the framework of that idea. Thanks |
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ML estimation is robust to non-normal observed variables. There is a large literature on that. |
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Thank you |
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