Logistic – How to Handle Multiple Categorical Dependent Variables in Logistic Regression?

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My data consists of 6 independent variables (continuous and categorical) and 8 dependent variables on likert scale (categorical). I want to use multinomial logistic regression to find out the relationship between dependent and independent variables. I reduced the 8 dependent variables by principal component analysis (factor analysis) into 2 factors.

My question is that could I use the factor results of SPSS or average of factors as dependent variables in logistic regression?

Best Answer

  1. The principal component analysis is for "continuous variables" not for "categorical variables".

  2. The multinomial logistic regression is not for ordinal responses, thus you should use ordinal logistic regression for each dependent variable separately. Or,

  3. Rasch models might be a good choice for your data.

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