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An Application of Logistic Regression in Identifying Target Populations Using TriMetrix EQ Variables

This study establishes relationships between several external variables based on demographic information obtained using the O*Net job classification model and the scales of the TTI Success Insights TriMetrix EQ assessment. The work uses a logistic regression modeling approach to derive statistically significant functional relationships between the TriMetrix EQ scales and membership in the job classification group of interest. ROC curve analysis is used to show the classification algorithm outperforms the standard random selection technique.

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