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Why Does TTI SI request that you help gather demographic information along with our assessments?

Why Does TTI SI request that you help gather demographic information along with our assessments?

Jul 28, 2023

This short white paper explains why we collect demographic information and highlights the multitude of uses for this crucial information, including meeting EEOC requirements and our ongoing benchmarking of over 700 O*NET jobs. The paper also points out that when these questions are posed, over 90 percent of participants respond to each and every question. In summary, this paper provides a rationale for turning on demographics and helping the entire network learn more about our participants, and yours.

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

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

Sep 27, 2019

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.