Style Insights® 2017 Reliability Study

Style Insights® 2017 Reliability Study

The 2017 Style Insights Reliability Study is an internal consistency reliability study and is part of TTI SI’s ongoing continuous improvement process. This study uses a measurement of reliability called the Cronbach’s α (alpha). Cronbach’s α is a measure of the lower bound estimate of the reliability of a psychometric assessment. Cronbach’s α is a scalar taking values between 0 and 1, inclusive. Generally speaking, the closer the score is to one, the more reliable an assessment may be considered. The scales for the Style Insights are labeled Dominance, Influence, Steadiness, and Compliance.

The Industry 4.0 Talent Pipeline: A Generational Overview of the Professional Competencies, Motivational Factors & Behavioral Styles of the Workforce

The Industry 4.0 Talent Pipeline: A Generational Overview of the Professional Competencies, Motivational Factors & Behavioral Styles of the Workforce

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.

Learning to Be an Interdisciplinary Researcher: Incorporating Training About Dispositional and Epistemological Differences Into Graduate Student Environmental Science Teams

Learning to Be an Interdisciplinary Researcher: Incorporating Training About Dispositional and Epistemological Differences Into Graduate Student Environmental Science Teams

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.

A Synopsis of the International Test Commission’s Guidelines for Translating and Adapting Tests: Part III

A Synopsis of the International Test Commission’s Guidelines for Translating and Adapting Tests: Part III

This is the third in a series of articles outlining the International Test Commission’s (ITC) Guidelines for Translating and Adapting Tests. The ITC guidelines are provided in a six-category format that includes the topics pre-condition, test development, confirmation, administration, scoring and interpretation, and documentation. It is the goal of this series to provide the motivation behind and an outline for the TTI Success Insights translation protocol.

Brain Activation Imaging in Emotional Decision Making and Mental Health: A Review Part 2

Brain Activation Imaging in Emotional Decision Making and Mental Health: A Review Part 2

In this report, we integrate the principles described in Part 1 and describe an operational model for emotional decision-making that incorporates brain activation data along with subjective experience correlates. This model takes the form of a state machine that carries out transitions between a finite set of 16 possible states of emotional and decision-making response. By considering a 4×4 grid of possible states based upon left and right activation, in primary (sensation) and secondary (perception/comprehension) response, the range of responses is completely specified. The transition probabilities within this repertoire of possible response states can be used to characterize an individual (or any system) in terms of its likelihood to respond in a particular fashion. The possible value of this model in psychiatry, psychology, and counseling is introduced and discussed.