Multiple Imputation in Mplus
Multiple Imputation in Mplus
Multiple Imputation in Mplus
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• With some plann<strong>in</strong>g, the same set of imputations can serve as<br />
<strong>in</strong>put data for many different analyses<br />
• At a m<strong>in</strong>imum, the imputation process should <strong>in</strong>clude all effects<br />
that are of <strong>in</strong>terest <strong>in</strong> the subsequent analysis phase (e.g., ma<strong>in</strong><br />
effects, <strong>in</strong>teractions, non-l<strong>in</strong>ear relations)<br />
• <strong>Imputation</strong> should also <strong>in</strong>corporate auxiliary variables that<br />
predict miss<strong>in</strong>gness or are correlated with the analysis variables