Mar 3, 2021
The following TTISI Style Insights Technical Manual Version 1.0 contains information on the history and development of our behavioral assessment, from its beginnings to current implementation. Included are a host of mathematical, statistical, and psychometric analyses used to establish evidence of validity and reliability of this TTISI assessment. The reader interested in all the details is encouraged to read the manual in its entirety. However, if the reader is interested in the final results, one should focus on Section 16, which serve as a summary of what has been presented elsewhere in this work as well as thoughts for future projects and studies. Appendix B, starting on page 176, presents results from our logistic regression approach to O’NET occupational title identification through the Style Insights variables.
Aug 11, 2020
In the paper ‘Co-op education and the impact on the behaviors and competencies of undergraduate engineering students’, Dr. Nassif E. Rayess, Dr. David Pistrui, Dr. Ron Bonnstetter and Dr. Eric T. Gehrig used TTI Success Insights’ TriMetrix DNA assessment to gauge the effect of an internship experience on undergraduate students’ behaviors and competencies.
May 4, 2020
To prosper in the Industry 4.0 ecosystem, individuals and organizations will be required to develop 21st century skill sets. This research seeks to identify emerging trends, pinpoint challenges and gain data-driven insights into the forces shaping the technical talent pipeline of Industry 4.0 in the United States. To successfully navigate the Industry 4.0 environment (and beyond), organizations will need to integrate four different generations (soon to be five) in their workforce. Next-Generation Leaders were found to be lacking in creativity and innovation and conceptual thinking, critical skills required in navigating an Industry 4.0 environment. This should serve as a wake-up call to educators tasked with overhauling an antiquated system, particularly at the graduate level. Based on responses to a series of questions using the TTI TriMetrix DNA assessment suite a data-driven, validated assessment instrument, this research presents an overview of the development of 25 professional competencies that contribute to superior performance.
May 4, 2020
Effective interdisciplinary research (IR) teams require skills of collaboration, sharing, and abilities to integrate knowledge from diverse disciplines. Pre-post data was collected using three learning modules designed to support the development of collaboration and teamwork skills in the context of IR. Results showed (1) participants learned and practiced essential collaborative skills in authentic contexts; (2) training modules were valued and helped participants recognize the important role that personal dispositional characteristics have on IR teams; (3) participants’ confidence in adapting to differences among team members increased; and (4) participants recognized that effective collaboration requires intentionality. This paper also introduces the concept of dispositional distancing.
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.
