| Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems K Pliakos, SH Joo, JY Park, F Cornillie, C Vens, W Van den Noortgate Computers & Education 137, 91-103, 2019 | 120 | 2019 |
| 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 | 83 | 2019 |
| A Monte Carlo evaluation of masked visual analysis in response‐guided versus fixed‐criteria multiple‐baseline designs JM Ferron, SH Joo, JR Levin Journal of Applied Behavior Analysis 50 (4), 701-716, 2017 | 49 | 2017 |
| 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 | 44 | 2016 |
| An explanatory item response theory method for alleviating the cold-start problem in adaptive learning environments JY Park, SH Joo, F Cornillie, HLJ van der Maas, W Van den Noortgate Behavior research methods 51, 895-909, 2019 | 41 | 2019 |
| GGUM-RANK statement and person parameter estimation with multidimensional forced choice triplets P Lee, SH Joo, S Stark, OS Chernyshenko Applied Psychological Measurement 43 (3), 226-240, 2019 | 40 | 2019 |
| Advancing and evaluating IRT model data fit indices in organizational research CD Nye, SH Joo, B Zhang, S Stark Organizational Research Methods 23 (3), 457-486, 2020 | 30 | 2020 |
| 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 | 26 | 2020 |
| Evaluating anchor-item designs for concurrent calibration with the GGUM SH Joo, P Lee, S Stark Applied Psychological Measurement 41 (2), 83-96, 2017 | 26 | 2017 |
| Examining gender DIF and gender differences in the PISA 2018 reading literacy scale: A partial invariance approach L Khorramdel, A Pokropek, SH Joo, I Kirsch, L Halderman Psychological Test and Assessment Modeling 62 (2), 179-231, 2020 | 24 | 2020 |
| 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 | 24 | 2018 |
| 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 | 23 | 2021 |
| Approaches for specifying the level-1 error structure when synthesizing single-case data SH Joo, JM Ferron, M Moeyaert, SN Beretvas, W Van den Noortgate The Journal of Experimental Education 87 (1), 55-74, 2019 | 23 | 2019 |
| 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 | 22 | 2021 |
| Evaluating Item Fit Statistic Thresholds in PISA: Analysis of Cross‐Country Comparability of Cognitive Items SH Joo, L Khorramdel, K Yamamoto, HJ Shin, F Robin Educational Measurement: Issues and Practice, 1-12, 2020 | 19 | 2020 |
| Impact of error structure misspecification when testing measurement invariance and latent-factor mean difference using MIMIC and multiple-group confirmatory factor analysis SH Joo, ES Kim Behavior research methods 51, 2688-2699, 2019 | 17 | 2019 |
| 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 | 11 | 2023 |
| The impact of response-guided baseline phase extensions on treatment effect estimates SH Joo, JM Ferron, SN Beretvas, M Moeyaert, W Van den Noortgate Research in Developmental Disabilities 79, 77-87, 2018 | 11 | 2018 |
| 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 | 10 | 2019 |
| Application of the within-and between-series estimators to non-normal multiple-baseline data: Maximum likelihood and Bayesian approaches SH Joo, JM Ferron Multivariate Behavioral Research 54 (5), 666-689, 2019 | 10 | 2019 |
Philseok LeeGeorge Mason University在 gmu.edu 的电子邮件经过验证
