Multiple Imputation in Mplus
Multiple Imputation in Mplus
Multiple Imputation in Mplus
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• Tabular presentations of miss<strong>in</strong>g data analyses are identical to<br />
those from a complete-data analysis<br />
Table 1<br />
<strong>Multiple</strong> Regression Parameter Estimates<br />
Effect Est. Beta SE z p<br />
Intercept 6.226 N/A .062 100.981 < .001<br />
Well-Be<strong>in</strong>g .417 .390 .057 7.336 < .001<br />
Job Satisfaction .009 .009 .053 .170 .865<br />
Job Tenure -.017 -.043 .017 -1.034 .301<br />
Turnover Intentions -.640 -2.238 .116 -5.522 < .001
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