| Understanding the model size effect on SEM fit indices D Shi, T Lee, A Maydeu-Olivares Educational and psychological measurement 79 (2), 310-334, 2019 | 923 | 2019 |
| A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data T Lee, D Shi Psychological Methods 26 (4), 466-485, 2021 | 265 | 2021 |
| Evaluating SEM model fit with small degrees of freedom D Shi, C DiStefano, A Maydeu-Olivares, T Lee Multivariate behavioral research 57 (2-3), 179-207, 2022 | 143 | 2022 |
| Testing measurement invariance using MIMIC: Likelihood ratio test with a critical value adjustment ES Kim, M Yoon, T Lee Educational and Psychological Measurement 72 (3), 469-492, 2012 | 125 | 2012 |
| Disaggregating within-person and between-person effects in multilevel and structural equation growth models. PJ Curran, T Lee, AL Howard, S Lane, R MacCallum IAP Information Age Publishing, 2012 | 108 | 2012 |
| Two factor model of consumer satisfaction: International tourism research S Park, S Hahn, T Lee, M Jun Tourism Management 67, 82-88, 2018 | 103 | 2018 |
| The issue of isopower in power analysis for tests of structural equation models R MacCallum, T Lee, MW Browne Structural Equation Modeling 17 (1), 23-41, 2010 | 86 | 2010 |
| Incremental model fit assessment in the case of categorical data: Tucker–Lewis index for item response theory modeling L Cai, SW Chung, T Lee Prevention Science 24 (3), 455-466, 2023 | 80 | 2023 |
| Math self-efficacy and STEM intentions: A person-centered approach L Lin, T Lee, LA Snyder Frontiers in psychology 9, 2033, 2018 | 80 | 2018 |
| Power analysis for tests of structural equation models. T Lee, L Cai, RC MacCallum The Guilford Press, 2012 | 79 | 2012 |
| Fitting ordinal factor analysis models with missing data: A comparison between pairwise deletion and multiple imputation D Shi, T Lee, AJ Fairchild, A Maydeu-Olivares Educational and Psychological Measurement 80 (1), 41-66, 2020 | 76 | 2020 |
| Revisiting the model size effect in structural equation modeling D Shi, T Lee, RA Terry Structural Equation Modeling: A Multidisciplinary Journal 25 (1), 21-40, 2018 | 76 | 2018 |
| Analysis of content topics, user engagement and library factors in public library social media based on text mining S Joo, K Lu, T Lee Online information review 44 (1), 258-277, 2020 | 53 | 2020 |
| Rapid Communication: Personality and attention: Levels of Neuroticism and Extraversion Can Predict Attentional Performance during a Change Detection Task S Hahn, J Buttaccio, D. R., Hahn, T Lee The Quarterly Journal of Experimental Psychology 68 (6), 1041-1048, 2015 | 40 | 2015 |
| Covariance structure model fit testing under missing data: An application of the supplemented EM algorithm L Cai, T Lee Multivariate Behavioral Research 44 (2), 281-304, 2009 | 37 | 2009 |
| Alternative multiple imputation inference for mean and covariance structure modeling T Lee, L Cai Journal of Educational and Behavioral Statistics 37 (6), 675-702, 2012 | 25 | 2012 |
| Fungible parameter estimates in structural equation modeling. T Lee, RC MacCallum, MW Browne Psychological Methods 23 (1), 58-75, 2018 | 21 | 2018 |
| Bifactor approach to modeling multidimensionality of physical self-perception profile CM Chung, X Liao, H Song, T Lee Measurement in Physical Education and Exercise Science 20 (1), 1-15, 2016 | 20 | 2016 |
| A bifactor approach to the factor structure study of the CES-D scale J Shin, T Lee, SJ Yun Stress 25 (4), 272-278, 2017 | 19 | 2017 |
| Parameter influence in structural equation modeling T Lee, RC MacCallum Structural Equation Modeling: A Multidisciplinary Journal 22 (1), 102-114, 2015 | 17 | 2015 |
Dexin ShiAssociate Professor of Quantitative Psychology, University of South CarolinaVerified email at mailbox.sc.edu
