Chiu, Chia-Yi (cc5010)

PhD, Quantitative Methodology, Measurement, and Evaluation program, Educational Psychology, University of Illinois at Urbana-Champaign

MS, Statistics, University of Illinois at Urbana-Champaign

MA, Mathematics in Teaching, University of Northern Colorado

BS, Mathematics, National Taiwan Normal University

While research on “big data” in educational measurement is thriving, Professor Chiu focused on “small data.” She is well recognized for her award-winning research on the advancement of educational assessments for the classroom that permit monitoring teaching and learning in real-time. Dr. Chiu has made groundbreaking contributions to the field of nonparametric cognitive diagnosis in developing its theory and implementing innovative algorithms for STEM assessments.

* indicates a current or former student co-author

Köhn, H. F., Chiu, C.-Y., Oluwalana, O*, Kim, H.* & Wang, J.* (2024). A two-step Q-matrix estimation method, Applied Psychological Measurement.

Nájera, P.*, Abad, F., Chiu, C.-Y., & Sorrel, M. (2023). The restricted DINA model: A comprehensive cognitive diagnostic model for classroom-level assessments. Journal of Educational and Behavioral Statistics, 48, 719-749.

Chiu, C.-Y., Köhn, H. F., & Ma, W. (2023). Commentary on “Extending the basic local independence model to polytomous data” by Stefanutti, de Chiusole, Anselmi and Spoto. Psychometrika, 88, 656-671.

Wang, Y.*, Chiu, C.-Y., & Köhn, H. F. (2023). Nonparametric classification method for multiple-choice items in cognitive diagnosis. Journal of Educational and Behavioral Statistics, 48, 189-219.

Chiu, C.-Y. & Chang, Y.-P.* (2021). Advances in CD-CAT: The general nonparametric item selection method. Psychometrika, 86, 1039-1057.

Köhn, H.-F., & Chiu, C.-Y. (2021). A unified theory of the completeness of Q-matrices for the DINA model. Journal of Classification, 38, 500-518.

Köhn, H.-F., & Chiu, C.-Y. (2019). Attribute hierarchy models in cognitive diagnosis: Identifiability of the latent attribute space and conditions for completeness of the Q-matrix. Journal of Classification, 36, 541-565.

Chang, Y.-P.*, Chiu, C.-Y., & Tsai, R.-C. (2019). Nonparametric CAT for CD in educational settings with small samples. Applied Psychological Measurement, 43, 543-561.

Chiu, C.-Y., & Köhn, H.-F. (2019). Consistency theory for the general nonparametric classification method. Psychometrika, 84, 830-845.

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.