Multiple Imputation in Mplus

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• All variables listed on the USEVARIABLES command are included in the imputation process • The USEVARIABLES list typically includes complete and incomplete variables VARIABLE:! ! Information about the contents of the data file;! names = id age tenure female wbeing jobsat jobperf turnover iq;! usevariables = jobperf tenure wbeing jobsat turnover iq;! missing = all (-99);!
• The following commands apply to the final MCMC run that generates the imputed data sets ANALYSIS:! ! Saturated imputation model;! type = basic;! ! Random number seed for MCMC algorithm;! bseed = 48932;! ! Convergence criterion (default = .05);! bconvergence = .05;!
Page 2 and 3: • Data set containing scores from
Page 4 and 5: • TITLE (optional) • DATA (same
Page 8 and 9: • Specifies characteristics of th
Page 10 and 11: DATA:! file = employee.dat;! VARIAB
Page 12 and 13: • Mplus saves each imputed data s
Page 14 and 15: • Mplus fully automates the analy
Page 16 and 17: SAMPLE STATISTICS! ! NOTE: These ar
Page 18 and 19: • The Wald statistic (a chi-squar
Page 20 and 21: • Because the continuous are cent
Page 22 and 23: ! R-SQUARE! ! ! Observed Two-Tailed
Page 24 and 25: • After creating the complete dat
Page 26: • Tabular presentations of missin

Multiple Imputation in Mplus

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