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.
Sep 3, 2019
In many cases, organization such as the American Psychological Association, provide general guidelines without providing specific guidance. As an example, we discuss the concepts of acceptable levels of reliability coefficients, as measured by the so-called “alpha” coefficients where after several decades there remains a lack of consensus.
May 8, 2019
The follow-on article discusses the specifics of the TTI Success Insights approach to addressing the American Psychological Association’s (APA) viewpoints toward and suggestions for measuring critical components of our assessments. The paper focuses on defining and explaining how TTISI is collecting evidence of validity and reliability.
Apr 23, 2019
This paper provides a brief introduction to item response theory, presents a short list of several popular item response theory models, and gives a brief snapshot of the results of the graded response model applied to the TTI Success Insights EQ assessment.
