Game-Based Assessment, Gamification, Applied Psychometrics, Item Response Theory, Non-cognitive Assessment, Machine Learning, and Statistical Programming (predominantly in R)
I am doctoral student in Industrial/Organizational (I/O) Psychology Program working with Dr. Phil Lee. I was born and raised in Ohio. I attended Marshall University (West Virginia) for my undergraduate where I took interest in I/O Psychology. After graduating, I spent a year and a half in Omaha, Nebraska working as a research developer, map-maker, and test administrator. I then returned to academia; getting my master’s degree in I/O from Radford University. I worked as a Psychometric Data Analyst for roughly 3 year before being accepted to George Mason University. I love to hike and exercise, take mediocre landscape photos, play trivia/board games, and program in R until 3 a.m.
Current Research Topics:
-Development of automated text classification tools in Psychology
-Supervised machine learning techniques
-Statistical techniques to identify faking in personality assessment
-Development of general programming tools for Psychology
Lee, P., Joo, S. H., & Fyffe, S. (2019). Investigating faking effects on the construct validity through the Monte Carlo simulation study. Personality and Individual Differences, 150, 109491.
M.S. I/O Psychology, Radford University, 2015
B.A. Psychology, Marshall University, 2012
Lei, X., Lee, P., Dubovoy, L., Zhou, Y., Lam, N., & Fyffe, S. (2019, November). A new investigation of the stability of job satisfaction: An application of second-order growth mixture modeling. Poster to be presented at the 2019 Work, Stress, & Health Conference, Boston, MA.