Chia-Yi

Profile: Chia-Yi Chiu

Associate Professor of Educational Statistics, Measurement, and Evaluation
Faculty

Chia-Yi Chiu, Ph.D. is a professor of Educational Statistics, Measurement, and Evaluation (ESME) in the Department of Educational Psychology, and is recognized for her research on the development of new methods for cognitive diagnosis. Traditional testing methods look at students’ overall ability and their standings. In contrast, cognitive diagnosis seeks to understand what students know and what they don’t know, so that teachers can design more suitable remediation instruction for the students based on their needs. The idea of “testing for improving teaching and learning, but not just merely auditing it” is the reason why Chiu has been focusing on cognitive diagnosis for many years. As an undergraduate, Chiu studied Mathematics at National Taiwan Normal University, becoming a high school Mathematics teacher. She then went on to receive a master’s degree focused on Mathematics in Teaching from the University of Northern Colorado. Chiu then went on to receive a second master’s degree focused on Statistics and a doctoral degree in Quantitative and Evaluative Research Methodologies from the University of Illinois at Urbana-Champaign.


In September 2008, Chiu joined the Rutgers GSE faculty as an assistant professor of Educational Statistics, Measurement, and Evaluation. By 2016, she was promoted to an associate professor for the Rutgers GSE for the same program. Throughout her career, Chiu has actively published in refereed journals, chapters in books and monographs, and even software. Chiu is currently an associate editor of two prestigious journals, Psychometrika and Journal of Classification. She is also on the AERA Division D. Robert L. Linn Distinguished Address Award Committee and Quantitative Dissertation Award Committee. Chiu’s responsibilities at the Rutgers GSE include teaching and working closely with the Admission Committee and the Executive Ph.D. Committee.

Education

Ph. D. in Quantitative and Evaluative Research Methodologies, University of Illinois at Urbana-Champaign

M.S. in Statistics, University of Illinois at Urbana-Champaign

M.A. in Mathematics in Teaching, University of Northern Colorado

B.S. in  Mathematics, National Taiwan Normal University

Expertise & Research Interest

Nonparametric Cognitive Diagnosis

Latent Class Analysis

Multidimensional Models in Educational Measurement and Testing

Recent & Selected Publications

Articles in Refereed Journals (* indicates a student co-author)

Chiu, C.-Y., & Köhn, H.-F. (in press). Consistency theory for the general nonparametric classification Method. Psychometrika.

Chang, Y.-P.*, & Chiu, C.-Y.  & Tsai, R.-C. (in press). Nonparametric CAT for CD in educational settings with small samples. Applied Psychological Measurement.

Köhn, H.-F., & Chiu, C.-Y. (in press). Attribute hierarchy models in cognitive diagnosis: Identifiability of the latent attribute space and conditions for completeness of the Q-matrix. Journal of Classification.

Köhn, H.-F., & Chiu, C.-Y. (2018). How to build a complete Q-matrix for a cognitively diagnostic test. Journal of Classification, 35, 273-299.

Chiu, C.-Y., Sun, Y.*, & Bian, Y.* (2018). Cognitive diagnosis for small educational programs: The general nonparametric classification method, Psychometrika, 83, 355-375.

de la Torre, J., & Chiu, C.-Y. (2017). On the consistency of Q-matrix estimation: A rejoinder. Psychometrika, 82, 528-529.

Köhn, H.-F., & Chiu, C.-Y. (2017). A procedure for assessing the completeness of the Q-matrices of cognitively diagnostic tests. Psychometrika, 82, 112-132.

Chiu, C.-Y., Köhn, H.-F., Zheng, Y.*, & Henson, R. (2016). Joint maximum likelihood estimation for cognitive diagnostic models. Psychometrika, 81, 1069-1092.

Chiu, C.-Y., Köhn, H.-F., & Wu, H.-M. (2016). Fitting the Reduced RUM with Mplus: A Tutorial. International Journal of Testing, 16, 331-351.

Köhn, H.-F., & Chiu, C.-Y. (2016). A proof of the duality of the DINA model and the DINO model. Journal of Classification, 33, 171-184.

Chiu, C.-Y., & Köhn, H.-F. (2016). Consistency of cluster analysis for cognitive diagnosis: The Reduced Reparameterized Unified Model and the General Diagnostic Model. Psychometrika, 81, 585-610.

Chiu, C.-Y., & Köhn, H.-F. (2016). The Reduced RUM as a logit model: Parameterization and constraints. Psychometrika, 81, 350-370.

de la Torre, J., & Chiu, C.-Y. (2016). A general method of empirical Q-matrix validation. Psychometrika, 81, 253-273.

Chapters in Books or Monographs (* indicates a student co-author)

Chiu, C.-Y. & Köhn, H.-F. (in press). Nonparametric diagnostic classification methods. In M. von Davier, Y. Li (Eds.) Handbook of Diagnostic Classification Models – State of the art in modeling, estimation, and applications.

Köhn, H.-F., & Chiu, C.-Y. (2018). Identifiability of the latent attribute space and conditions of Q-matrix completeness for attribute hierarchy models. In M. Wiberg, S. Culpepper, R. Janssen, J. González, & D. Molenaar (Eds.), Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society (pp. 363-375). New York: Springer.

Köhn, H.-F., & Chiu, C.-Y. (2016). Conditions of completeness of the Q-matrix of tests for cognitive diagnosis. In L. A. van der Ark, D. M. Bolt, W. C. Wang, J. A. Douglas, M. Wiberg (Eds.), Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society (pp. 255-264). New York: Springer.

Software (* indicates a student co-author)

Chiu, C.-Y., & Ma, W.* (2016). ACTCD: The asymptotic classification theory for cognitive diagnosis, R package version 1.1-0. http://CRAN.R-project.org/package=ACTCD

Honors & Awards

Chancellor’s Scholar Award: Innovation in Research ($5000 research fund/year), Rutgers University

Brenda H. Loyd Outstanding Dissertation Award, National Council on Measurement in Education (NCME)

Dissertation Award Shortlist, Classification Society

Professional Affiliations

Associate Editor: Psychometrika

Associate Editor: Journal of Classification

AERA Division D. Robert L. Linn Distinguished Address Award Committee

AERA Division D. Quantitative Dissertation Award Committee

 

  • Phone: 
    (848) 932-0832
  • Office Address: 

    10 Seminary Place
    Room 326
    New Brunswick, NJ 08901

  • Program Affiliations:

    Admission Committee

    Executive Ph.D. Committee