Why Does TTI SI request that you help gather demographic information along with our assessments?

Why Does TTI SI request that you help gather demographic information along with our assessments?

This short white paper explains why we collect demographic information and highlights the multitude of uses for this crucial information, including meeting EEOC requirements and our ongoing benchmarking of over 700 O*NET jobs. The paper also points out that when these questions are posed, over 90 percent of participants respond to each and every question. In summary, this paper provides a rationale for turning on demographics and helping the entire network learn more about our participants, and yours.

An Application of Logistic Regression in Identifying Target Populations Using TriMetrix EQ Variables

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.

We Need a New Approach to Principal Selection

We Need a New Approach to Principal Selection

This Education Week commentary lays out major issues in principal selection and offers solutions. Armed with a solid benchmarking process, schools, including university schools of education, can screen applicants and ultimately hire a new generation of more effective leaders.

Using Big Data to Better Appreciate Cultural Differences

Using Big Data to Better Appreciate Cultural Differences

As a global assessment provider, this paper provides behavioral population means and norm comparisons for twenty-seven countries, thus showing the need to understand the cultural elements at play during interactions.

Words That Don’t Work

Words That Don’t Work

One of the major outcomes from our brain research is the confirmation that each person has “triggers” (words or phrases that can create a negative emotional reaction). This paper highlights the concept and provides specific behavioral style examples to avoid.

University of Nebraska Lincoln Freshmen Engineering Majors with University of Northern Iowa Business Majors Comparisons: When do People Develop Personal Skills

University of Nebraska Lincoln Freshmen Engineering Majors with University of Northern Iowa Business Majors Comparisons: When do People Develop Personal Skills

Of the 23 competencies surveyed, all are below national means and their mastery. There are a few exceptions, as a group, is extremely low but please keep in mind that they are being compared to a national workforce mean and not other first-year college students. Nebraska’s College of Engineering was one of the first programs in the nation to gather this data. So, comparison to similar groupings is nearly impossible. More importantly, while documenting student entry levels is useful, what is crucial is identifying what skills our students gain as a result of their programs of study. This study opens many questions that only longitudinal studies can address.

Take this job and shove it!!

Take this job and shove it!!

Sadly, the first thing people tend to do when faced with workplace dissatisfaction is to either blame the work or over generalize and assume they have failed. The truth is that many times our behaviors, motivators and skills sets are a mismatch with the job requirements. This case study shows how a job fit can alter our behavioral style.