معرفی
Mina Son is an academic at George Mason University's Department of Psychology, specializing in Industrial-Organizational Psychology. She holds a Master's degree in Personality and Social Psychology from Yonsei University (2015) and a Bachelor's in Urban Planning and Engineering from the same institution (2013). Her work focuses on psychometrics, forced-choice measurement techniques, natural language processing in personality assessment, and employment testing fairness. She teaches courses such as PSYC 300 (Statistics in Psychology), PSYC 435 (Personnel Training and Development), and lab sections for advanced statistical modeling courses.
Dr. Son's research emphasizes innovative applications of technology in assessment, including generative AI for test development and machine learning approaches to detect faking in personality assessments. Her recent work explores the historical evolution of forced-choice measurements and the impact of situational strength on behavioral consistency. She has been recognized with a Best Papers (top 10%) award at the 2025 Academy of Management conference for her work on generative AI in testing validation.
Her professional activities include presentations at major conferences like the Society for Industrial and Organizational Psychology and Academy of Management. Current research collaborations involve projects on political will measurement and adverse impact analysis in personnel selection systems. She maintains an active role in the academic community through teaching, research supervision, and contributions to psychological assessment methodologies.
