This is the original technical, entrepreneurial write up showing that the TTI Performance TriMetrix® DNA assessment data differentiates a target group of serial entrepreneurs from a sample of the general population. Further, follow on studies plan to extend the logistic regression technique to include a predictive model building approach and subsequent predictability studies as relevant data comes available.
This paper starts with a summary marketing take away section that then leads to the original “Classification of Serial Entrepreneurs via Logistic Regression: A Case Study”
A key area for any assessment is whether the assessment data may be used, in some form, to generate a predictive model. The results are very solid and provide solid support for a follow on, longitudinal study to determine the potential predictive power of such a modeling approach.
This 2017 report takes our reliability to a new level by incorporating reliability, means and gender groupings on behaviors, motivators and driving forces for 19 different languages.
This externally reviewed in-depth study provides statistical evidence of reliability for 20 different behavior and motivator assessment languages.
