Publication

Journal Article

* indicate supervised graduate students

Bao, Y., Shen, Y., Wang, S., & Bradshaw, L. (2020). Flexible Computerized Adaptive Tests to Detect Misconceptions and Estimate Ability Simultaneously. Applied Psychological Measurement, 0146621620965730.

Wang, S., & Chen, Y. (2020). Using Response Times and Response Accuracy to Measure Fluency Within Cognitive Diagnosis Models. Psychometrika, 85(3), 600-629.

Wang, S., Hu, Y., Wang, Q., Wu, B., Shen, Y., & Carr, M. (2020). The development of a multidimensional diagnostic assessment with learning tools to improve 3-D mental rotation skills. Frontiers in Psychology, 11.

Wang, S., Zhang, S., & Shen, Y*. (2019). A joint modeling framework of responses and response times to assess learning outcomes. Multivariate behavioral research, 1-20.

Wang, S., Fellouris, G., & Chang, H. H. (2019). Statistical Foundations for Computerized Adaptive Testing with Response Revision. Psychometrika, 84(2), 375-394.. Statistical Foundations for ComputerizedAdaptive Testing that Allows for Response Revision. Psychometrika

Tu, D., Wang, S., Cai, Y., Douglas, J., & Chang, H. H. (2019). Cognitive diagnostic models with attribute hierarchies: Model estimation with a restricted Q-matrix design. Applied psychological measurement, 43(4), 255-271. Cognitive Diagnostic Models with Attribute Hierarchies: Model Estimation with a Restricted Q matrix Design. Applied Psychological Measurement.

Zhang, S.& Wang, S. (2018) Modeling Learner Heterogeneity: A Mixture Learning Model with Responses and Response Times. Frontiers in Psychology, 9,2339.

Wang, S., Zhang, S., Douglas, J.,& Culpepper, S. (2018). Using Response Times to AssessLearning Progress: A joint model for responses and response times. Measurement: Interdisciplinary Research and Perspectives,16(1), 45-58.

Wang, S. (2018). The Two-Stage Maximum Likelihood Estimation in Misspecified Restricted Latent Class Model. British Journal of Mathematical and Statistical Psychology,71(2), 300-333

Wang, S. , Yang, Y., Culpepper, S., & Douglas, J.. (2018). Tracking skill acquisition with cognitive diagnosis models: A higher-order hidden Markov model with covariates. Journal of Educational Behaviorial Statistics, 43(1),57-87.

Chen, Y., Culpepper, S.A., Wang, S. and Douglas, J. A. (2018). A hidden Markov model for learning trajectories in cognitive diagnosis with application to spatial rotation skills. Applied Psychological Measurement, 42(1),5-23.

Wang, S., Fellouris, G. & Chang, H. (2017). Computerized Adaptive Testing that Allows forResponse Revision: Design and Asymptotic Theory. Statistica Sinica, 27, 1987-2010.

Wang, S., Zheng, Y., Zheng, C., Su, Y. H., & Li, P. (2016). An Automated Test Assembly

Design for a Large-Scale Chinese Proficiency Test. Applied Psychological Measurement, 40(3), 233-237.

Wang, S., Lin, H., Chang, H. , & Douglas, J. (2016). Hybrid Computerized Adaptive Testing:

From Group Sequential Design to Fully Sequential Design. Journal of Educational Measurement, 53(1), 45-62.

Wang, S. & Douglas, J.A. (2015). Consistency of Nonparametric Classification in Cognitive. Psychometrika,80(1), 85-100.

Conference Publication (Peer Review)

Xiao, H., Gao, J., Wang, Z., Wang, S., Su, L., & Liu, H. (2016). A Truth Discovery Approach with Theoretical Guarantee. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): Research Track