Ask the Experts Panel
Measurement and Analysis
Friday, September 20 | 10:30 AM EDT

Biography

Donald J. “DJ” Schepker is an associate professor of strategic management in the Moore School and is the research director in the Center for Executive Succession. Schepker received his Ph.D. in Strategic Management from the University of Kansas and B.S. from Babson College with a focus on finance and economics. His research focuses on corporate governance, executive succession and turnover, board level decision making, and dynamics between executives and boards. His research has appeared in outlets such as the Academy of Management Journal, Strategic Management Journal, Journal of Management and Leadership Quarterly, and he is currently on the editorial board of the Journal of Management. Prior to completing his Ph.D., Schepker worked in the advisory practice at PricewaterhouseCoopers, conducting assessments of areas such as risk, fraud and due diligence for a variety of publicly traded companies, institutions of higher education and government-affiliated entities.

Biography

Justin A. DeSimone is an associate professor in the Department of Management at the University of Alabama. His research focuses on research methodology, including statistics, measurement, and innovative assessment techniques. Justin’s work has been published in various outlets including Organizational Research Methods, the Journal of Management, and the Journal of Applied Psychology. He has served as an associate editor for Organizational Research Methods and the Journal of Organizational Behavior as well as on the editorial review boards for the Journal of Management and Journal of Business and Psychology. Justin has also served on the executive committee for the Research Methods Division at Academy of Management and is a frequent contributor to CARMA.

Biography

Dr. Zhang’s research focuses on personnel selection and organizational research methods. Specifically, he focuses on how to improve personality assessment to increase the effectiveness of personnel selection. He is interested in understanding how job applicants respond to personality items, how to prevent faking using the forced-choice format, and how to detect and correct for faking using advanced statistic models. He has a strong interest in developing new statistical methods to aid with personnel selection research and has developed augmented bifactor models to enable more stable estimation of the validity of hierarchical constructs. These include the Mixture Dominance Unfolding Model to study heterogeneity in item response process, the Generalized Thurstonian Unfolding Model to score forced-choice data, and the Unfolding Item Response Tree Model to account for unfolding response process and response styles simultaneously. Finally, Dr. Zhang is interested in personality change and how personality is related to stress and health.