Multiple Imputation in Mplus

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• The Wald statistic (a chi-square with 4 degrees of freedom) is akin to the omnibus F test in OLS regression Wald Test of Parameter Constraints! ! Value 177.808! Degrees of Freedom 4! P-Value 0.0000! • The significant chi-square, χ 2 (4)= 177.808, p < .001, indicates that the set of predictors explain significant variation in the dependent variable
! ! MODEL RESULTS! ! Unstandardized Coefficients Standard Error z Test Two-Tailed! Estimate S.E. Est./S.E. P-Value! ! JOBPERF ON! WBEING 0.417 0.057 7.366 0.000! JOBSAT 0.009 0.053 0.170 0.865! TENURE -0.017 0.017 -1.034 0.301! TURNOVER -0.640 0.116 -5.522 0.000! ! Intercepts! JOBPERF 6.226 0.062 100.981 0.000!
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 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 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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