Philseok Lee

Philseok Lee

Philseok Lee

Assistant Professor

Industrial/Organizational Psychology: Psychometrics, Faking Issues in personnel selection, Personality and individual differences, Non-cognitive assessments development, technology-based assessments (e.g., game-based assessments) in I/O

Dr. Lee is originally from South Korea. He earned his Ph.D. degree in Industrial and Organizational Psychology at the University of South Florida in 2016. Generally, his research interests focus on applied measurement, personnel assessment, and individual difference issues in IO Psychology: (1) developments and applications of modern psychometric modeling to the practical problems of I-O settings, (2) faking issues in personnel selection, (3) development of noncognitive personnel assessment, (4) personality and individual differences, and (5) application of machine learning technique to noncognitive assessment in selection settings. Recently, Dr. Lee extends his interests to measurement issues of OHP (organizational health psychology) topics. In applied settings, Dr. Lee has worked with university faculties and practitioners to develop and improve tests measuring constructs, such as performance, virtue, personality, and cognitive ability. Courses he taught at the university level include industrial/organizational psychology, personnel selection, research method, industrial test and measurement, psychometrics, and multivariate statistics. Dr. Lee is interested in admitting a graduate student. He is most keen on accepting students who want to pursue academia or research career path. If you are interested, please feel free to contact him. 

Selected Publications

(* indicates GMU student authors)

Ng, V., Lee, P., Kuykendall, L., Ringo, H., Stark, S., & Tay, L. (accepted). The development and validation of a multidimensional forced-choice format character measure: Testing the Thurstonian IRT approach. Journal of Personality Assessment.

Joo, S. H., Lee, P., & Stark, S. (2019). Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoring. Behavior research methods, 1-12.

Lee, P., Joo, S. H., & Fyffe, S.* (2019). Investigating faking effects on the construct validity through the Monte Carlo simulation study. Personality and Individual Differences150, 109491.

Lee, P., Joo, S., Stark, S., & Chernyshenko, O. (2019). GGUM-RANK statement and person parameter estimation with multidimensional forced choice triplets. Applied Psychological Measurement, 43, 226-240.

Lee, P., Joo, S., & Lee, S. (2019). Examining stability of personality profile solutions between Likert-type and multidimensional forced choice measure. Personality and Individual Differences, 142, 13-20.

Lee, P., Lee, S., & Stark, S. (2018) Examining validity evidence for multidimensional forced choice measures with different scoring approaches. Personality and Individual Differences, 123, 229-235.

Lee, P., & Lee, S. (2018). Discovering the hidden profiles of employee drinking motives: An application of integrated variable-and person-centered latent profile analysis. Substance use & misuse, 53, 2299-2309.

Joo, S., Lee. P., & Stark, S. (2018) Development of Information Functions and Indices for the GGUM-RANK Multidimensional Forced Choice IRT Model, Journal of Educational Measurement, 55, 357-372

Lee S., Ji, O. Y., & Lee., P. (2018) Effects of alcohol drinking of employee on job engagement and interpersonal conflict at work: A test of self-control strength theory using diary study, The Korean Journal of Industrial and Organizational Psychology, 31, 303-325.

Lee. P., Mahoney, K., & Lee, S. (2017). An Application of the exploratory structural equation modeling framework to the study of personality faking. Personality and Individual Difference, 119, 220-226.

Lee, P., Joo, S. & Stark, S. (2017). Linking methods for the Zinnes-Griggs pairwise preference IRT model, Applied Psychological Measurement, 41, 130-144.

Joo, S., Lee, P., & Stark, S. (2017). Evaluating anchor-item designs for concurrent calibration with the GGUM, Applied Psychological Measurement, 41, 83-96

Lee, S., Lee, P., & Im, S. (2017). Drinking and absence of college students: A daily examination of the alcohol use vigor-absence model, Journal of Institute for Social Sciences, 28, 123-137.

Wang, W., Lee, P., Joo, S. H., Stark, S., & Louden, R. (2016). MCMC ZG: An IRT Computer program for forced-choice noncognitive measurement. Applied Psychological Measurement, 40, 551-553.

Kim, E. S., Joo, S. H., Lee, P., Wang, Y., & Stark, S. (2016). Measurement invariance testing across between-level latent classes using multilevel factor mixture modeling. Structural Equation Modeling: A Multidisciplinary Journal23, 870-887.

Lee, P., Stark, S., Chernyshenko, O. (2014). Detecting aberrant responding on unidimensional pairwise preference tests: an application of lz based on the Zinnes and Griggs ideal point IRT Model, Applied Psychological Measurement, 38, 391-403.

Lee, P., Chun, S., & Lee, S. (2014). Differential use of middle category “?” in job descriptive index between Korean and American samples using mixed-model IRT, Korean Journal of Psychology: General, 33, 647-672.

Grants and Fellowships

Lee S., Lee P., Lee B., Nam G. Ji O., & Kim N. (2017). An in-depth study on organizational safety culture using Korean Occupational Safety and Health Company Survey (Research Report No. 2017-906). Ulsan, Korea: Korean Occupational Safety Health Research Institute.

Wang, W., Lee, P., Joo, S, Stark, S., & Louden, R. (2016). MCMC ZG IRT model computer program user’s guide (Mac OS® Version 1.1).

Education

Ph.D. I/O Psychology, University of South Florida, 2016

Recent Presentations

Lei, X.*, Lee, P., Fyffe, S.*, Dubovoy, L.*, Zhou, Y.*, & Lam, N*. (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.

Lee, P., Joo, S, & Lee, S. (2019, April) Examining the effectiveness of MFC personality assessments from diverse perspectives. In Lee. P. (Chairs), Person-Centric Investigation of the Effectiveness of Multidimensional Forced Choice Personality Measure Across Different Test ContextsSymposium to be presented at the 34th Annual Conference of the Society for Industrial and Organizational Psychology, National Harbor, Maryland.

Joo, S., Lee, P., & Stark, S. (2019, April). Evaluating bayesian DIF detection methods using an ideal point IRT model. Symposium to be presented at National Council on Measurement in Education (NCME), Ontario, Canada. 

Wang, Y., Joo, S., Chun, S., Alamri, A., Lee, P., Kim, E. S., & Stark, S. (2019, April). Evaluating latent class models when ignoring and accounting for clustering. Symposium to be presented at National Council on Measurement in Education (NCME), Ontario, Canada. 

Stark, S., Lee, P., & Joo, S. (2018, August). Improving resistance to response biases in personality measurement: Advances in forced-choice modeling. Symposium presented at 11th Conference of the International Test Commission (ITC), Montreal, Canada.

Lee, P., Joo. S., & Stark, S. (2018, April). Advances in measurement invariance: Methods and applications to advanced models. In Seybert, J. (Chairs) Testing DIF for MFC measures using Thurstonian Item Response Theory. Symposium conducted at the 33nd annual meeting of the Society of Industrial Organizational Psychology, Chicago, IL

Lee, P., & Lee, S. (2018, April). Discovering the hidden latent profiles of employee drinking motives: An application of integrated variable-centered and person-centered approaches. Paper presented at the 33nd annual meeting of the Society of Industrial Organizational Psychology, Chicago, IL.

Lee, P., Joo, S., & Stark, S. (2017, August). Examining differential item functioning of multidimensioal forced choice measure using Thurstonian IRT Model. Paper presented at the International Meeting of the Psychometric Society (IMPS), Zurich, Switzerland.

Joo, S., Lee, P., & Stark, S. (2017, August). Information functions for the GGUM-RANK multidimensional forced choice Model, Symposium conducted at the International Meeting of the Psychometric Society (IMPS), Zurich, Switzerland.

Lee, P., Mahoney, K., Chon, J., Lee, S., & Orina, N. B., K (2017, May). Investigation of drinking motives with variable centered and person-centered approaches. Paper presented at the 12th International Conference on Occupational Stress and Health, Minneapolis, MN.

Lee, P., Stark, S., & Chernyshenko, S., (2017, July). Comparing four different scoring methods to estimate the multidimensional forced choice noncognitive measure. Symposium conducted at the 13th, International Conference on Psychology and Behavioural Sciences (ICPBS), Lisbon, Portugal.

Lee, P., Mahoney, K., Chun, S., & Lee, S (2017, April). Are ESEM-based models more appropriate for studying personality faking? Paper presented at the 32nd annual meeting of the Society of Industrial Organizational Psychology, Orland, FL.

Stark, S., Joo, S, Lee, P. (2017, April). Novel approaches to noncognitive skills assessment for the workplace. In Kell, H. J. (Chairs), Development of information function index for multidimensional forced choice measure. Symposium conducted at the 32nd annual meeting of the Society of Industrial Organizational Psychology, Orland, FL