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Philseok Lee
Philseok Lee
Adresse e-mail validée de gmu.edu
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The links between job insecurity, financial well‐being and financial stress: A moderated mediation model
SL Choi, W Heo, SH Cho, P Lee
International Journal of Consumer Studies 44 (4), 353-360, 2020
792020
Examining stability of personality profile solutions between Likert-type and multidimensional forced choice measure
P Lee, SH Joo, S Lee
Personality and Individual Differences 142, 13-20, 2019
782019
Examining validity evidence for multidimensional forced choice measures with different scoring approaches
P Lee, S Lee, S Stark
Personality and Individual Differences 123, 229-235, 2018
582018
Measurement invariance testing across between-level latent classes using multilevel factor mixture modeling
ES Kim, SH Joo, P Lee, Y Wang, S Stark
Structural Equation Modeling: A Multidisciplinary Journal 23 (6), 870-887, 2016
442016
The development and validation of a multidimensional forced-choice format character measure: Testing the Thurstonian IRT approach
V Ng, P Lee, MHR Ho, L Kuykendall, S Stark, L Tay
Journal of Personality Assessment 103 (2), 224-237, 2021
382021
GGUM-RANK statement and person parameter estimation with multidimensional forced choice triplets.
O Lee, P., Joo, S., Stark, S., & Chernyshenko
Applied Psychological Measurement 43, 226-240, 2019
382019
Personality profiles based on the FFM: A systematic review with a person-centered approach
K Yin, P Lee, OJ Sheldon, C Li, J Zhao
Personality and Individual Differences 180, 110996, 2021
372021
Evaluating anchor-item designs for concurrent calibration with the GGUM
SH Joo, P Lee, S Stark
Applied psychological measurement 41 (2), 83-96, 2017
262017
Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoring
SH Joo, P Lee, S Stark
Behavior Research Methods 52, 761-772, 2020
252020
Development of information functions and indices for the GGUM‐RANK multidimensional forced choice IRT model
SH Joo, P Lee, S Stark
Journal of Educational Measurement 55 (3), 357-372, 2018
232018
Detecting DIF in multidimensional forced choice measures using the Thurstonian item response theory model
P Lee, SH Joo, S Stark
Organizational Research Methods 24 (4), 739-771, 2021
222021
A new investigation of fake resistance of a multidimensional forced-choice measure: An application of differential item/test functioning
P Lee, SH Joo
Personnel Assessment and Decisions 7 (1), 4, 2021
202021
An application of the exploratory structural equation modeling framework to the study of personality faking
P Lee, KT Mahoney, S Lee
Personality and Individual Differences 119, 220-226, 2017
202017
Detecting Aberrant Responding on Unidimensional Pairwise Preference Tests: An Application of lz Based on the Zinnes–Griggs Ideal Point IRT Model
P Lee, S Stark, OS Chernyshenko
Applied psychological measurement 38 (5), 391-403, 2014
192014
A paradigm shift from “human writing” to “machine generation” in personality test development: An application of state-of-the-art natural language processing
P Lee, S Fyffe, M Son, Z Jia, Z Yao
Journal of Business and Psychology 38 (1), 163-190, 2023
122023
Modeling multidimensional forced choice measures with the Zinnes and Griggs pairwise preference item response theory model
SH Joo, P Lee, S Stark
Multivariate Behavioral Research 58 (2), 241-261, 2023
102023
Investigating faking effects on the construct validity through the Monte Carlo simulation study
P Lee, SH Joo, S Fyffe
Personality and Individual Differences 150, 109491, 2019
102019
“Transforming” personality scale development: Illustrating the potential of state-of-the-art natural language processing
S Fyffe, P Lee, S Kaplan
Organizational Research Methods 27 (2), 265-300, 2024
82024
Investigating the impact of negatively keyed statements on multidimensional forced-choice personality measures: A comparison of partially ipsative and IRT scoring methods
P Lee, SH Joo, S Zhou, M Son
Personality and Individual Differences 191, 111555, 2022
72022
The explanatory generalized graded unfolding model: Incorporating collateral information to improve the latent trait estimation accuracy
SH Joo, P Lee, S Stark
Applied Psychological Measurement 46 (1), 3-18, 2022
62022
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