| Model selection methods for mixture dichotomous IRT models F Li, AS Cohen, SH Kim, SJ Cho Applied Psychological Measurement 33 (5), 353-373, 2009 | 199 | 2009 |
| The online social support scale: measure development and validation. EA Nick, DA Cole, SJ Cho, DK Smith, TG Carter, RL Zelkowitz Psychological assessment 30 (9), 1127, 2018 | 189 | 2018 |
| Accuracy of the parallel analysis procedure with polychoric correlations SJ Cho, F Li, D Bandalos Educational and Psychological Measurement 69 (5), 748-759, 2009 | 135 | 2009 |
| Effects of blended instructional models on math performance BA Bottge, X Ma, L Gassaway, MD Toland, M Butler, SJ Cho Exceptional children 80 (4), 423-437, 2014 | 128 | 2014 |
| A multilevel mixture IRT model with an application to DIF SJ Cho, AS Cohen Journal of Educational and Behavioral Statistics 35 (3), 336-370, 2010 | 121 | 2010 |
| Morphological contributions to adolescent word reading: An item response approach AP Goodwin, JK Gilbert, SJ Cho Reading Research Quarterly 48 (1), 39-60, 2013 | 93 | 2013 |
| Alternating imputation posterior estimation of models with crossed random effects SJ Cho, S Rabe-Hesketh Computational Statistics & Data Analysis 55 (1), 12-25, 2011 | 73 | 2011 |
| Digital versus paper reading processes and links to comprehension for middle school students AP Goodwin, SJ Cho, D Reynolds, K Brady, J Salas American Educational Research Journal 57 (4), 1837-1867, 2020 | 71 | 2020 |
| Probing lexical representations: Simultaneous modeling of word and reader contributions to multidimensional lexical representations. AP Goodwin, JK Gilbert, SJ Cho, DM Kearns Journal of Educational Psychology 106 (2), 448, 2014 | 67 | 2014 |
| Subjective fatigue in children with hearing loss assessed using self-and parent-proxy report BWY Hornsby, SJ Gustafson, H Lancaster, SJ Cho, S Camarata, FH Bess American Journal of Audiology 26 (3S), 393-407, 2017 | 57 | 2017 |
| Item response theory analyses of the Cambridge Face Memory Test (CFMT). SJ Cho, J Wilmer, G Herzmann, RW McGugin, D Fiset, AE Van Gulick, ... Psychological assessment 27 (2), 552, 2015 | 57 | 2015 |
| Explanatory secondary dimension modeling of latent differential item functioning P De Boeck, SJ Cho, M Wilson Applied Psychological Measurement 35 (8), 583-603, 2011 | 57 | 2011 |
| Novel approaches to examine passage, student, and question effects on reading comprehension AC Miller, N Davis, JK Gilbert, SJ Cho, JR Toste, J Street, LE Cutting Learning Disabilities Research & Practice 29 (1), 25-35, 2014 | 53 | 2014 |
| Markov chain Monte Carlo estimation of a mixture item response theory model SJ Cho, AS Cohen, SH Kim Journal of Statistical Computation and Simulation 83 (2), 278-306, 2013 | 52 | 2013 |
| Autoregressive generalized linear mixed effect models with crossed random effects: An application to intensive binary time series eye-tracking data SJ Cho, S Brown-Schmidt, W Lee Psychometrika 83, 751-771, 2018 | 50 | 2018 |
| Latent transition analysis with a mixture item response theory measurement model SJ Cho, AS Cohen, SH Kim, B Bottge Applied Psychological Measurement 34 (7), 483-504, 2010 | 45 | 2010 |
| The joint impact of collectivistic value orientation and independent self-representation on group creativity HS Choi, SJ Cho, JG Seo, MN Bechtoldt Group Processes & Intergroup Relations 21 (1), 37-56, 2018 | 35 | 2018 |
| Additive multilevel item structure models with random residuals: Item modeling for explanation and item generation SJ Cho, P De Boeck, S Embretson, S Rabe-Hesketh Psychometrika 79, 84-104, 2014 | 34 | 2014 |
| After differential item functioning is detected: IRT item calibration and scoring in the presence of DIF SJ Cho, Y Suh, W Lee Applied Psychological Measurement 40 (8), 573-591, 2016 | 33 | 2016 |
| An NCME instructional module on latent DIF analysis using mixture item response models SJ Cho, Y Suh, W Lee Educational Measurement: Issues and Practice 35 (1), 48-61, 2016 | 32 | 2016 |
Amanda GoodwinAssociate Professor, Vanderbilt UniversityVerified email at vanderbilt.edu
