| Leader development begins at home: Overparenting harms adolescent leader emergence. Z Liu, RE Riggio, DV Day, C Zheng, S Dai, Y Bian Journal of Applied Psychology 104 (10), 1226, 2019 | 88 | 2019 |
| Contributions of (de) motivation, engagement, and anxiety to English listening and speaking X Zhang, S Dai, Y Ardasheva Learning and Individual differences 79, 101856, 2020 | 85 | 2020 |
| Performance of polytomous IRT models with rating scale data: An investigation over sample size, instrument length, and missing data S Dai, TT Vo, OJ Kehinde, H He, Y Xue, C Demir, X Wang Frontiers in Education 6, 721963, 2021 | 23 | 2021 |
| Parameter Recovery in Multidimensional Item Response Theory Models Under Complexity and Nonnormality D Svetina, A Valdivia, S Underhill, S Dai, X Wang Applied Psychological Measurement 41 (7), 530-544, 2017 | 15 | 2017 |
| Use of cognitive diagnostic model to study differential item functioning in accommodations D Svetina, S Dai, X Wang Behaviormetrika 44 (2), 313-349, 2017 | 14 | 2017 |
| Handling missing responses in psychometrics: Methods and software S Dai Psych 3 (4), 673-693, 2021 | 13 | 2021 |
| Subscore: computing subscores in classical test theory and item response theory S Dai, X Wang, D Svetina R package, 2019 | 10 | 2019 |
| Examining DIF in the context of CDMs when the Q-matrix is misspecified D Svetina, Y Feng, J Paulsen, M Valdivia, A Valdivia, S Dai Frontiers in psychology 9, 355597, 2018 | 9 | 2018 |
| Ethnically diverse adolescents recount third-party actions that amplify their anger and calm their emotions after perceived victimization Z Higheagle Strong, EM McMain, KS Frey, RM Wong, S Dai, G Jin Journal of adolescent research 35 (4), 461-488, 2020 | 8 | 2020 |
| Investigation of missing responses in Q-matrix validation S Dai, D Svetina, C Chen Applied psychological measurement 42 (8), 660-676, 2018 | 8 | 2018 |
| Investigation of missing responses in implementation of cognitive diagnostic models S Dai Indiana University, 2017 | 8 | 2017 |
| TestDataImputation: missing item responses imputation for test and assessment data S Dai, X Wang, D Svetina R package version 2, 2016 | 6 | 2016 |
| Using NAEP to analyze eighth-grade students’ ability to reason algebraically P Kloosterman, C Walcott, NJS Brown, D Mohr, A Pérez, S Dai, M Roach, ... Large-scale studies in mathematics education, 179-207, 2015 | 6 | 2015 |
| TestDataImputation: Missing item responses imputation for test and assessment data. R package version 2.3 S Dai, X Wang, D Svetina | 5 | 2021 |
| Subscore: Computing subscores in classical test theory and item response theory. R package version 3.1 S Dai, X Wang, D Svetina | 5 | 2019 |
| Impact of methods of scoring omitted responses on achievement gaps N Brown, D Svetina, S Dai the annual meeting of the National Council on Measurement in Education, 2014 | 5 | 2014 |
| Exploration of factors affecting the added value of test subscores X Wang, D Svetina, S Dai The Journal of Experimental Education 87 (2), 179-192, 2019 | 4 | 2019 |
| Reporting subscores using R: a software review S Dai, D Svetina, X Wang Journal of educational and behavioral statistics 42 (5), 617-638, 2017 | 4 | 2017 |
| Analyzing NAEP data at the item level NJS Brown, S Dai, D Svetina What Mathematics Do Students Know and How is that Knowledge Changing …, 2016 | 4 | 2016 |
| Predictors of omitted responses on the 2009 National Assessment of Educational Progress (NAEP) mathematics assessment. N Brown, S Dai, D Svetina the annual meeting of the American Educational Research Association, 2014 | 4 | 2014 |
Dubravka Svetina ValdiviaIndiana UniversityVerified email at indiana.edu
