Tracking skill acquisition with cognitive diagnosis models: A higher-order, hidden Markov model with covariates S Wang, Y Yang, SA Culpepper, JA Douglas Journal of Educational and Behavioral Statistics 43 (1), 57-87, 2018 | 110 | 2018 |
A hidden Markov model for learning trajectories in cognitive diagnosis with application to spatial rotation skills Y Chen, SA Culpepper, S Wang, J Douglas Applied psychological measurement 42 (1), 5-23, 2018 | 73 | 2018 |
Consistency of nonparametric classification in cognitive diagnosis S Wang, J Douglas Psychometrika 80, 85-100, 2015 | 55 | 2015 |
Using response times to assess learning progress: A joint model for responses and response times S Wang, S Zhang, J Douglas, S Culpepper Measurement: Interdisciplinary Research and Perspectives 16 (1), 45-58, 2018 | 48 | 2018 |
A truth discovery approach with theoretical guarantee H Xiao, J Gao, Z Wang, S Wang, L Su, H Liu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 47 | 2016 |
Hybrid computerized adaptive testing: From group sequential design to fully sequential design S Wang, H Lin, HH Chang, J Douglas Journal of Educational Measurement 53 (1), 45-62, 2016 | 42 | 2016 |
Cognitive diagnostic models with attribute hierarchies: Model estimation with a restricted Q-matrix design D Tu, S Wang, Y Cai, J Douglas, HH Chang Applied psychological measurement 43 (4), 255-271, 2019 | 30 | 2019 |
A joint modeling framework of responses and response times to assess learning outcomes S Wang, S Zhang, Y Shen Multivariate behavioral research 55 (1), 49-68, 2020 | 19 | 2020 |
Using response times and response accuracy to measure fluency within cognitive diagnosis models S Wang, Y Chen psychometrika 85 (3), 600-629, 2020 | 18 | 2020 |
Modeling learner heterogeneity: A mixture learning model with responses and response times S Zhang, S Wang Frontiers in psychology 9, 2339, 2018 | 16 | 2018 |
Computerized adaptive testing that allows for response revision: Design and asymptotic theory S Wang, G Fellouris, HH Chang Statistica Sinica, 1987-2010, 2017 | 15 | 2017 |
An automated test assembly design for a large-scale Chinese proficiency test S Wang, Y Zheng, C Zheng, YH Su, P Li Applied Psychological Measurement 40 (3), 233-237, 2016 | 15 | 2016 |
The development of a multidimensional diagnostic assessment with learning tools to improve 3-D mental rotation skills S Wang, Y Hu, Q Wang, B Wu, Y Shen, M Carr Frontiers in Psychology 11, 305, 2020 | 14 | 2020 |
Flexible computerized adaptive tests to detect misconceptions and estimate ability simultaneously Y Bao, Y Shen, S Wang, L Bradshaw Applied Psychological Measurement 45 (1), 3-21, 2021 | 10 | 2021 |
A joint maximum likelihood estimation framework for truth discovery: A unified perspective H Xiao, S Wang IEEE Transactions on Knowledge and Data Engineering 35 (6), 5521-5533, 2022 | 8 | 2022 |
The automated test assembly and routing rule for multistage adaptive testing with multidimensional item response theory L Xu, S Wang, Y Cai, D Tu Journal of Educational Measurement 58 (4), 538-563, 2021 | 7 | 2021 |
Statistical Foundations for computerized adaptive testing with response revision S Wang, G Fellouris, HH Chang psychometrika 84, 375-394, 2019 | 7 | 2019 |
Two‐Stage maximum likelihood estimation in the misspecified restricted latent class model S Wang British Journal of Mathematical and Statistical Psychology 71 (2), 300-333, 2018 | 6 | 2018 |
Model selection for latent Dirichlet allocation in assessment data C Mardones-Segovia, JM Wheeler, HJ Choi, S Wang, AS Cohen Psychological Test and Assessment Modeling 65 (1), 3-35, 2023 | 5 | 2023 |
Bayesian estimation of attribute hierarchy for cognitive diagnosis models Y Chen, S Wang Journal of Educational and Behavioral Statistics 48 (6), 810-841, 2023 | 4 | 2023 |