Multiple Imputation in Mplus

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DATA:! file = employee.dat;! VARIABLE:! names = id age tenure female wbeing jobsat jobperf turnover iq;! usevariables = jobperf tenure wbeing jobsat turnover iq;! missing = all (-99);! ANALYSIS:! type = basic;! bseed = 48932;! bconvergence = .05;! DATA IMPUTATION:! impute = wbeing jobsat;! ndatasets = 50;! save = employeeimp*.dat;! thin = 300;! OUTPUT:! tech8;! ! ! !
• Near the bottom of the output file, Mplus lists the variable order in the imputed data sets • Use this variable list for all subsequent analyses SAVEDATA INFORMATION! ! Order of variables! ! JOBPERF! TENURE! WBEING! JOBSAT! TURNOVER! IQ!
Page 2 and 3: • Data set containing scores from
Page 4 and 5: • TITLE (optional) • DATA (same
Page 6 and 7: • All variables listed on the USE
Page 8 and 9: • Specifies characteristics of th
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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