Faculty Profiles
Work Steven C. Beering Hall of Liberal Arts and Education 100 N. University Street West Lafayette Indiana 47907-2098 BRNG 5166work Work Phone: (765) 494-9625work Work Email: chang606@purdue.eduINTERNET Website: Vita
Hua-Hua Chang
Charles R. Hicks Chair Professor, Professor of Statistics (Courtesy) Educational Psychology & Research MethodologyEducational Studies
– Profile
+ Education
- Ph.D. — Statistics, University of Illinois at Urbana-Champaign (1992)
- M.S. — Statistics, University of Illinois at Urbana-Champaign (1988)
- Diploma — Mathematics, East China Normal University, Shanghai, China (1980)
+ Experience
- 2021 – present
Professor of Statistics (Courtesy Appointment)
Department of Statistics
Purdue University - 2018 – present
Charles R. Hicks chair Professor
Department of Educational Studies
College of Education, Purdue University - 2013 – 2017
Director of Confucius Institute
University of Illinois at Urbana-Champaign (UIUC) - 2009 – 2018
Professors of Educational Psychology, Psychology and Statistics
University of Illinois at Urbana-Champaign (UIUC) - 2005 – 2009
Associate Professors of Educational Psychology, Psychology, and Statistics
University of Illinois at Urbana-Champaign (UIUC) - 2001 – 2005
Associate Professor
Department of Educational Psychology
University of Texas, Austin, TX - 1999 – 2001
Senior Psychometrician and Project Director of Computerized Testing Technological Research
National Board of Medical Examiners, Philadelphia, PA - 1997 – 1998
Associate Professor
Department of Educational Psychology
The Chinese University of Hong Kong, China - 1992 – 1999
Associate Research Scientist and Research Scientist
Division of Statistics and Psychometrics Research
Educational Testing Service, Princeton, NJ
+ Honors
- Award for Career Contributions to Educational Measurement (2021), National Council on Measurement in Education (NCME)
- Fulbright Specialist Award (2019), Colombia Fulbright Commission and U.S. Department of State
- Elected Fellow of American Statistical Association (2019)
- E. F. Lindquist Award for Contributions to Research in Testing and Measurement American Educational Research Association (2017)
- Editor in Chief, Applied Psychological Measurement (2011-2018)
- List of Teachers Ranked as Excellent by Their Students, UIUC (annually 2008-2018)
- Award for Outstanding Graduate Teaching, College of Education, UIUC (2016)
- Chang Jiang Scholar Chair Professor, Ministry of Education of China (2013-2016)
- University of Illinois Robert Bohrer Lecture in Statistics, UIUC (2014)
- Commencement Speaker, School of Educational Sciences, East China Normal University, June 16, 2014, Shanghai China
- President, the Psychometric Society (2012-2013)
- Award for Significant Contribution to Educational Measurement and Research Methodology,ERA–Division D (2011)
- Distinguished Senior Scholar Award, College of Education, UIUC (2010)
- Elected Fellow of American Educational Research Association (2010)
- International Keynote Speaker. The 25th Workshop on Item Response Theory and Educational Measurement, University of Twente, The Netherlands (2009)
- Annual Award, National Council on Measurement in Education (2008)
- Public Presenter Award, American College Testing, Iowa City, Iowa (2006)
- Hire for Excellence, UIUC (2005)
- Fulbright Senior Specialist Award (2005), Australian-American Fulbright Commission and U.S. Department of State
- International Keynote Speaker. The 11th Workshop on Item Response Theory and Educational Measurement, University of Twente, The Netherlands (1995)
+ Research and Publications
Professor Chang came to Purdue in August 2018. Prior to joining Purdue, he worked at the University of Illinois at Urbana-Champaign (UIUC) and held professorships in Educational Psychology, Psychology and Statistics. Professor Chang has focused his research primarily on methodological developments to support testing and assessment. Since August 2018, he has been devoting his effort to build assessment tools to help teaching and learning. He emphasized in a recent publication: “Modern theories in measurement are rapidly transforming testing from unaccommodating measures into informative tools that can be used to address various challenges in today’s teaching and learning.” His most current research projects include developing AI-powered diagnostic tools to improve classroom assessment in large college gateway courses, and also developing personalized adaptive assessment to support individualized learning.
- Chang, H-H., Wang, C., & Zhang, S. (2021). Statistical applications in educational measurement. Annual Review of Statistics and Its Application. https://doi.org/10.1146/annurev-statistics-042720-104044.
- Li, X., Xu, H., Zhang, J., & Chang, H-H. (2021). Optimal hierarchical learning path design with reinforcement learning. Applied Psychological measurement. DOI: 10.1177/0146621620947171.
- Kang, H., Zheng, Y., & Chang, H-H. (2020). Online calibration of a joint model of item responses and response times in computerized adaptive testing. Journal of Educational and Behavioral Statistics, 45, 175-208.
- Zhang, S. & Chang, H-H. (2019). A multilevel logistic Hidden Markov model for learning under cognitive diagnosis. Behavior Research Methods. DOI 10.3758/s13428-019-01238-w. (With Student)
- Choe, M. E. & Chang, H-H. (2019). The asymptotic distribution of average test overlap rate in computerized adaptive testing. Psychometrika, https://doi.org/10.1007/s11336-019-09674-5. (With Student)
- Li, X., Zhang, J., & Chang, H-H. (2019). Look-ahead content balancing method in variable length computerized classification testing. British Journal of Mathematical and Statistical Psychology. DOI 10.1111/bmsp.12161. (With Student)
- Wang, S., Fellouris, G., & Chang, H-H. (2019). Statistical foundations for computerized adaptive testing with revision. Psychometrika. 84 (2), pp 375–394. (With Student)
- Tu, D., Wang, S., 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.
- Lin, C.L., & Chang, H-H. (2019). Item selection criteria with practical constraints in cognitive diagnostic computerized adaptive testing. Educational and psychological Measurement, 79(2), 335–357.
- Morphew, J., Mestre, J., Kang, H., Chang, H-H., & Fabry, G. (2018). Using computer adaptive testing to assess physics proficiency and improve exam performance. Physical Review Physics Education Research, DOI: 10.1103/PhysRevPhysEducRes.14.010127.
- Chang, H.-H. (2015). Psychometrics behind computerized adaptive testing. Psychometrika, 80 (1), 1-20.
- Chang, H-H., & Ying, Z. (2009). Nonlinear sequential designs for logistic item response theory models with applications to computerized adaptive tests. The Annals of Statistics, Vol 37, No. 3, 1466-1488.
- Chang, H-H., & Ying, Z. (2008). To weight or not to weight? Balancing influence of initial items in adaptive testing. Psychometrika, 73 (3), 441-450.
- McGlohen, M. & Chang, H-H. (2008). Combining computer adaptive testing technology with cognitively diagnostic assessment. Behavior Research Methods 40 (3), 808-821.
+ Courses Typically Taught
- EDPS 63200 — Computerized Adaptive Testing
- EDPS 63200 — Psychometrics with R Programming
- EDPS 63600 — Item Response Theory
- EDPS 53100 — Introduction To Measurement And Instrument Design
- EDPS 63500 — Psychometric Theory And Application
- EDPS 63200 — Seminar In Research Procedures In Education