University of Minnesota
Department of Psychology

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Chun Wang

Chun Wang

Dept of Psychology N218 Elliott Hall 75 E River Rd

Department Affiliations


My research interests are in the area of psychometrics and measurement, specifically on topics of computerized adaptive testing (CAT), equating and linking, cognitive diagnosis, and multilevel Item Response Theory (IRT) models. Currently, I am working on four topics, including (1) developing optimal item selection algorithms in cognitive diagnostic CAT and multidimensional CAT; (2) proposing semi-parametric models for jointly representing response accuracy and response times in computerized testing; (3) developing innovative psychometric models for measuring individual change/growth in longitudinal study; (4) identifying appropriate statistical indices to quantify test security and to detect cheating behavior. Having been interns at three leading testing organizations such as CTB/McGraw-Hill, ACT and Riverside Publishing, I enjoy identifying, formulating, and solving research problems arising from real world applications in a theoretically sound way. I am also interested in working with researchers in applied settings to make methodological contributions to substantive research.


  • (Multidimensional) computerized adaptive testing
  • Cognitive diagnostic modeling
  • Response time modeling and analysis
  • Item response theory

Educational Background

  • Ph.D.: Quantitative Psychology, University of Illinois at Urbana-Champaign, 2012.
  • M.S.: Statistics, University of Illinois at Urbana-Champaign, 2009.
  • B.S.: Psychology, Peking University, Beijing, China, 2007.


  • Wang, C., Zheng, C., & Chang, H. (in press). An Enhanced Approach to Combine Item Response Theory with Cognitive Diagnosis in Adaptive Testing. Journal of Educational Measurement.
  • Wang, C. & Nydick, S. (in press). Comparing Two Algorithms for Calibrating the Restricted Non-Compensatory Multidimensional IRT Model. Applied Psychological Measurement , to appear.
  • Wang, C. (in press). On latent trait estimation in multidimensional compensatory item response models. Psychometrika.
  • Wang, C., Zheng, Y. & Chang, H. (2014). Does Standard Deviation Matter? Using “Standard Deviation” to Quantify Security of Multistage Testing. Psychometrika.
  • Hong, H., Wang, C., Lim, Y., & Douglas, J. (2014). Efficient models for cognitive diagnosis with continuous and mixed-type latent variables. Applied Psychological Measurement, to appear.
  • Wang, C .(2013). Mutual information item selection method in cognitive diagnostic computerized adaptive testing with short test length. Educational and Psychological Measurement, 73, 1017-1035.
  • Wang, C., Fan, Z., Chang, H., & Douglas, J. (2013). A Semiparametric Model for Jointly Analyzing Response Times and Accuracy in Computerized Testing. Journal of Educational and Behavioral Statistics, 38, 381--417.
  • Wang, C.., Chang, H. & Boughton, K. (2013). Deriving stopping rules for multidimensional computerized adaptive testing. Applied Psychological Measurement, 37, 99-122.
  • Tay, L., Vermunt, J., & Wang, C.. (2013). Assessing the item response theory with covariate (IRT-C) procedure for ascertaining differential item functioning. International Journal of Testing, 13, 201--222.
  • Wang, C., Chang, H.-H., & Douglas, J. (2013). The linear transformation model with frailties for the analysis of item response times. British Journal of Mathematical and Statistical Psychology, 66, 148-168.
  • Wang, C., Chang, H., & Douglas, J. (2012). Combining CAT with cognitive diagnosis: A weighted item selection approach. Behavior Research Methods, 44, 95--109.
  • Fan, Z., Wang, C., Chang, H.-H., & Douglas, J. (2012). Utilizing response time distributions for item selection in CAT. Journal of Educational and Behavioral Statistics, 37, 655-670.
  • Chen, P., Xin, T., Wang, C., Chang, H. (2012). On-line calibration methods in cognitive diagnostic computerized adaptive testing. Psychometrika, 77, 201--222.
  • Wang, C., Chang, H., & Boughton, K. (2011). Kullback-Leibler information and its applications in multi-dimensional adaptive testing. Psychometrika, 76, 13--39.
  • Wang, C., & Chang, H. (2011). Item selection in multidimensional computerized adaptive tests|Gaining information from different angles. Psychometrika, 76, 363--384.
  • Wang, C., Chang, H., & Huebner, A. (2011). Restrictive stochastic item selection methods in cognitive diagnostic CAT. Journal of Educational Measurement, 48, 255--273.
  • Huebner, A., & Wang, C. (2011). A note on comparing examinee classification methods for cognitive diagnosis models. Educational and Psychological Measurement, 71, 407--419.


  • Early Career Researcher Award (Awarded by the International Association of Computerized Adaptive Testing), 2014
  • Jason Millman Promising Measurement Scholar Award (Awarded by National Council on Measurement in Education), 2014
  • Alicia Cascallar Award (Awarded by National Council on Measurement in Education), 2013
  • Outstanding Reviewer Award (Awarded by Journal of Educational and Behaviroal Statistics, American Educational Research Association), 2013
  • Jeffrey Tanaka Award (for outstanding original research or scholarship), UIUC, 2012
  • Nancy Hirschberg Award (for outstanding original research or scholarship), UIUC, 2011
  • Knowledge-for-All Lecturer Award (for outstanding research), UIUC, 2010
  • John Wallace Dallenbach Memorial Fellowship, UIUC, 2007

Courses Taught

  • PSY 8814 - Analysis of Psychological Data
  • PSY 3801 - Introduction to Psychological Measurement and Data Analysis
  • PSY8882 - Statistical computing in latent variable models
Alternative Output Formats Alternative Output Formats

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