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Sean Joo
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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
1062019
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
772019
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
462017
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
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
412019
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
382019
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
292020
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
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
232019
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
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
212020
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
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
192020
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
172019
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
122018
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
112019
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
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