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Mplus, correlation or covariance |
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Yung Chung posted on Wednesday, June 20, 2007 - 6:28 pm
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Hi, good evening: I estimated a model where one of the outcome variables is a binary variable (four-year college enrollment or not: enroll4) and everything else was treated as continuous. Using the command "categorical are enroll4", the weighted least square with mean and variance adjustment was therefore invoked. Am I correct in my assumption that Mplus analysed tetrachoric (?) correlation matrix opposed to covariance matrix? Any insight will be greatly appreciated, Cheers, Will |
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When you have a combination of continuous and categorical variables, the matrix that is analyzed has different entries depending on the scale of the variables. For two continuous variables, the off-diagonal entry is a covariance and the diagonal entries are variances. For two binary variables, the off-diagonal entry is a tetrachoric correlation and there is no diagonal entry. For a continuous and a categorical variable, the off-diagonal entry is a biserial correlation and there is no diagonal entry. |
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