Artificial Intelligence for Hiring (Did I roll my eyes out loud?)
Research Home / Resources / White Papers Artificial Intelligence for Hiring (Did I roll my eyes out loud?) Technological advancements throughout society are occurring at an ever-increasing rate. Neurological discoveries and associated investigative tools are leading...
A Synopsis of the International Test Commission’s Guidelines for Translating and Adapting Tests: Part I
Research Home / Resources / White Papers A Synopsis of the International Test Commission’s Guidelines for Translating and Adapting Tests: Part I This is the first in a series of monthly articles outlining the International Test Commission’s (ITC)...
A Synopsis of the International Test Commission’s Guidelines for Translating and Adapting Tests: Part II
Research Home / Resources / White Papers A Synopsis of the International Test Commission’s Guidelines for Translating and Adapting Tests: Part II This is the second in a series of monthly articles outlining the International Test Commission’s (ITC) Guidelines...
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.