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Adding chi-square test for the output |
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Message/Author |
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Dear Drs. Muthen, I am running path analyses where the dependent are categorical and the independents could be nominal, categorical, or continuous, using: TYPE = random; ALGORITHM = INTEGRATION; ESTIMATOR = MLR OUTPUT: SAMPSTAT Is there a way to add to the output chi-square results of goodness of fit? Thanks, Hadas |
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No, chi-square and related fit statistics are not available unless means, variances, and covariances are sufficient statistics for model estimation. |
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Does it mean that I can rely only on the model selection (e.g. AIC) values to quantify the relative fit of the competing models to the data, or can I estimate the model in a different way so I can get fit statistics? If so, which model definitions should I change? Many thanks, Hadas |
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You can use WLSMV instead of ML. You will obtain probit regression instead of logistics regresson. |
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