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Personal profile

Research Interests

My primary research pertains to the use of latent variable modeling, machine learning, and other quantitative methods to solve practical problems in educational and psychological testing. Here are a few of my current research interests:

  • Latent variable modeling: missing data, response times, diagnostic classification, Bayesian estimation;

  • Longitudinal models for learning and interventions;

  • Analysis of complex data (e.g., log data) in computer-based testing and learning environments.

Teaching

  • Psyc 490 - Fall 2020
  • Online workshop on Statistical Learning of Process Data (Video recording)

Education/Academic qualification

Quantitative Psychology, Ph.D., University of Illinois at Urbana-Champaign

Award Date: Aug 22 2018

Applied Mathematics, MS, University of Illinois at Urbana-Champaign

Award Date: May 20 2017

Psychology, BA, Bryn Mawr College

Award Date: May 15 2014

Mathematics, BA, Haverford College

Award Date: May 15 2014

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Research Output

A joint modeling framework of responses and response times to assess learning outcomes

Wang, S., Zhang, S. & Shen, Y., Jan 2 2020, In : Multivariate Behavioral Research. 55, 1, p. 49-68 20 p.

Research output: Contribution to journalArticle

  • A multilevel logistic hidden Markov model for learning under cognitive diagnosis

    Zhang, S. & Chang, H. H., Feb 1 2020, In : Behavior Research Methods. 52, 1, p. 408-421 14 p.

    Research output: Contribution to journalArticle

  • Latent Class Analysis of the CBCL Dysregulation Profile for 6- to 16-Year-Olds in 29 Societies

    International ASEBA Consortium, Rescorla, L. A., Jordan, P., Zhang, S., Baelen-King, G., Althoff, R. R. & Ivanova, M. Y., 2020, (Accepted/In press) In : Journal of Clinical Child and Adolescent Psychology.

    Research output: Contribution to journalArticle

  • Statistical Applications in Educational Measurement

    Chang, H-H., Wang, C. & Zhang, S., 2020, (Accepted/In press) In : Annual Review of Statistics and Its Application.

    Research output: Contribution to journalArticle