Don Zhang

Associate Professor Louisiana State University

  • Baton Rouge LA

Dr. Zhang studies risk and decision making.

Contact

Louisiana State University

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Biography

Dr. Zhang has three major areas of research. First, he is interested in the antecedents of risk-taking at work, examining both stable individual differences as well as situational factors that may encourage or inhibit risky behaviors on the job. He is particularly interested in the double-edged effects of workplace risk taking. Second, Dr. Zhang conducts research on the employment interview process, focusing on the perspectives and behaviors of both applicants and interviewers. His work has examined dubious interviewing tactics used by hiring managers, while exploring the implications of these practices on recruitment success. Finally, Dr. Zhang leverages insights from judgment and decision-making (JDM) to inform organizational research on work behaviors. He strives to build translational linkages between foundational decision research and applied topics in industrial-organizational psychology. He has received over $2.8 million in NSF Grants and is the recipient of the NSF CAREER Award. His work has been featured on news outlets such as The Guardian, New York Magazine, and The Wall Street Journal. To learn more about Dr. Zhang's research program, he can be contacted at zhang1@lsu.edu. His lab website, Risk and Decision Making Lab, provides additional details on his various projects and opportunities to join the lab as a research assistant or graduate student.

Areas of Expertise

Workplace Risk Taking
Judgment and Decision-making
Job Interviews
Psychometrics
Employee Recruitment and Selection
Personality and Individual Differences

Research Focus

Workplace Risk-Taking & Employee Selection

Dr. Zhang’s research focuses on workplace risk-taking, judgment and decision-making, and employee recruitment and selection. He applies organizational surveys, experimental interview studies, and psychometric modeling to reveal how personality and situational factors drive risky behavior and to sharpen hiring practices and decision quality at work.

Education

Bowling Green State University

Ph.D.

Industrial and Organizational Psychology

Bowling Green State University

M.A.

Industrial and Organizational Psychology

Michigan State University

B.S.

Psychology

Accomplishments

Reviewer of the Year, Journal of Business and Psychology

2021

Media Appearances

4 LSU professors awarded National Science Foundation's most prestigious early-career grant

The Advocate  online

2022-07-24

Don Zhang
Zhang will use $430,000 to study risk-taking behavior in the workplace.

The impetus behind his work, Zhang said, comes from research he and his colleagues have conducted over the past five to 10 years profiling people who take risks and trying to measure risk preferences.

"What I'm aiming to do, with the generous support of NSF, is to take a lot of the good work that we've done so far and apply it to the work context," he said. "Trying to understand, if you're an employee who is a risk-taker, what does that mean in terms of your performance and behavior at work."

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Articles

Development and Validation of the Calculated and Spontaneous Risk‐Taking Scale (CASPRT)

Journal of Behavioral Decision Making

2025

Risk preference is a key concept across social, economic, and decision sciences. While existing measures assess risk taking either as domain‐specific preferences (e.g., finance and health) or as a general trait, they have largely overlooked individual differences in the narrow, domain‐general aspects of risk preference. Drawing from a dual‐process framework, we advance a multidimensional domain‐general measure of risk preference. We develop and validate the Calculated and Spontaneous Risk‐Taking Scale across seven studies (N = 2116).

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The bright, dark, and gray sides of risk takers at work: criterion validity of risk propensity for contextual work performance

Journal of Business and Psychology

2024

Although risk takers are traditionally seen as liabilities, a growing body of research suggests that risk takers may be critical for organizational achievements because of their courage and willingness to take risks for the benefit of others. Despite the prevalence of risk taking in studies of strategic management and organizational behavior, we know very little about the implication of risk propensity on employee work performance. In this paper, we conceptualize contextual performance—behaviors that fall outside of normal job expectations—as a form of workplace risk taking.

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Improving the statistical performance of oblique bifactor measurement and predictive models: An augmentation approach

Structural Equation Modeling: A Multidisciplinary Journal

2024

Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties of oblique bifactor models through Monte Carlo simulations. Study 1 showed that the classic oblique bifactor measurement models had severe convergence issues in many conditions. Even for converged replications, both factor loading and group factor correlation estimates were severely biased.

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Affiliations

  • Society for Judgment and Decision Making (SJDM)
  • Society of Industrial and Organizational Psychology (SIOP)

Event Appearances

Keeping Up with Open Science: Teaching, Self-Teaching, and Training on Open Science

2022 | Annual Meeting of the Society for Industrial and Organizational Psychology  Seattle, WA

Horsesized duck or duck-sized horses? Pros and cons of odd-ball interview questions

2019 | Annual Meeting of the Society for Industrial and Organizational Psychology  Washington, DC

“Can you hear me now? Good. Communicating Science Effectively

2018 | Annual Meeting of the Society for Industrial and Organizational Psychology  Chicago, IL

Research Grants

Center for Promotion of Academic Careers through Motivational Opportunities to Develop Emerging Leaders in STEM (LS-PAC MODELS).

Louis Stokes Regional Center of Excellence

2018- 2023

Media

Social