| Using bifactor models to examine the predictive validity of hierarchical constructs: Pros, cons, and solutions B Zhang, T Sun, M Cao, F Drasgow Organizational Research Methods 24 (3), 530-571, 2021 | 62 | 2021 |
| Though forced, still valid: Psychometric equivalence of forced-choice and single-statement measures B Zhang, T Sun, F Drasgow, OS Chernyshenko, CD Nye, S Stark, ... Organizational Research Methods 23 (3), 569-590, 2020 | 57 | 2020 |
| Workplace Gossip: An Integrative Review of its Antecedents, Functions, and Consequences T Sun, P Schilpzand, Y Liu Journal of Organizational Behavior 44 (2), 311-334, 2023 | 55 | 2023 |
| Small but nontrivial: A comparison of six strategies to handle cross-loadings in bifactor predictive models B Zhang, J Luo, T Sun, M Cao, F Drasgow Multivariate Behavioral Research, 2021 | 26 | 2021 |
| Smarter people analytics with organizational text data: Demonstrations using classic and advanced NLP models F Guo, CM Gallagher, T Sun, S Tavoosi, H Min Human Resource Management Journal 34 (1), 39-54, 2024 | 24 | 2024 |
| How Well Can an AI Chatbot Infer Personality? Examining Psychometric Properties of Machine-Inferred Personality Scores J Fan, T Sun, J Liu, T Zhao, B Zhang, Z Chen, M Glorioso, E Hack Journal of Applied Psychology, 2023 | 24 | 2023 |
| Faking Detection Improved: Adopting a Likert Item Response Process Tree Model T Sun, B Zhang, M Cao, F Drasgow Organizational Research Methods 25 (3), 490-512, 2022 | 20 | 2022 |
| autoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction M Li, T Sun, B Zhang Applied Psychological Measurement 46 (1), 70-72, 2022 | 15 | 2022 |
| Improving Measurement and Prediction in Personnel Selection through the Application of Machine Learning N Koenig, S Tonidandel, I Thompson, B Albritton, F Koohifar, G Yankov, ... Personnel Psychology, 2023 | 11 | 2023 |
| bmggum: An R Package for Bayesian Estimation of the Multidimensional Generalized Graded Unfolding Model with Covariates N Tu, B Zhang, LC Angrave, T Sun Applied Psychological Measurement 45 (7-8), 553-555, 2021 | 11 | 2021 |
| “Meh!”: Examining Midpoint Endorsement Habitude (MEH) in Survey Research T Sun, B Zhang, WMJ Phan, BW Roberts, F Drasgow Academy of Management Proceedings 2019 (1), 16421, 2019 | 10 | 2019 |
| Matches Made With Information: Fitting Measurement Models to Adult Attachment Data T Sun, RC Fraley, F Drasgow Assessment 28 (7), 1828-1847, 2021 | 8 | 2021 |
| The Generalized Thurstonian Unfolding Model (GTUM): Advancing the Modeling of Forced-Choice Data B Zhang, N Tu, L Angrave, S Zhang, T Sun, L Tay, J Li Organizational Research Methods, 2023 | 7 | 2023 |
| Mix-Keying or Desirability-Matching in the Construction of Forced-Choice Measures? An Empirical Investigation and Practical Recommendations M Li, B Zhang, L Li, T Sun, A Brown Organizational Research Methods, 2024 | 5 | 2024 |
| Artificial intelligence powered personality assessment: A multidimensional psychometric natural language processing perspective T Sun University of Illinois at Urbana-Champaign, 2021 | 5 | 2021 |
| Estimating the Multidimensional Generalized Graded Unfolding Model with Covariates Using a Bayesian Approach N Tu, B Zhang, L Angrave, T Sun, M Neuman Journal of Intelligence 11 (8), 163, 2023 | 3 | 2023 |
| When Matches Are Ideal: Fitting Measurement Models to Adult Attachment Data T Sun University of Illinois at Urbana-Champaign, 2017 | 2 | 2017 |
| Improving the statistical performance of oblique bifactor measurement and predictive models: An augmentation approach B Zhang, J Luo, S Zhang, T Sun, D Zhang Structural Equation Modeling, 2023 | 1 | 2023 |
| MUPPscore: An R script for expected a posteriori scoring of multi-unidimensional pairwise preference items L Guan, T Sun, NT Carter PsyArXiv, 2021 | 1 | 2021 |
| Forced choice to overcome the cross-cultural response style bias problem T Sun, F Drasgow PsyArXiv, 2021 | 1 | 2021 |
Fritz DrasgowUniversity of Illinois在 drasgowgroup.com 的电子邮件经过验证
