Education:
Scholarly Interests:
Selected Publications:
Wu, A. D., Zumbo, B. D., Siegel, L. S. (2011). Piecewise general growth mixture modeling: Word recognition development for different learners in different phases. Journal of Modern Applied Statistical Methods, 10, 1, 226-248.
Wu, A. D., Begoray, D. L., MacDonald, M., Wharf-Higgins, J., Frankish, J., Kwan, B. Fung, W., &Rootman, I. (2010). Developing and evaluating a relevant and feasible instrument for measuring health literacy of Canadian high school students. Health Promotion International, 25, 4, 444-452.
Wu, A. D., Liu, Y., Gadermann, A. M., & Zumbo, B.D. (2010). Multiple-indicator multilevel growth model: A solution to multiple methodological challenges in longitudinal studies. Social Indicators Research: International Interdisciplinary Journal for Quality of Life Measurement, 97, 123-142.
Wu, A. D. & Zumbo, B. D. (2008).Understanding and using mediators and moderators.Social Indicators Research: An International Interdisciplinary Journal for Quality of Life Measurement, 87, 367–392.
Wu, A. D., Li, Z., & Zumbo, B. D. (2007). Decoding the meaning of factorial invariance and updating the practice of multi-group confirmatory factor analysis: A demonstration With TIMSS Data. Practical Assessment Research & Evaluation, 12(2).Available online at http://pareonline.net/getvn.asp?v=12&n=2.
Research Projects:
Statistical methods for ordering the importance of variables: this line of research advances the use Pratt’s measures as a tool for assisting in interpreting modeling results.
Factors contributing to test item performance: this line of research studies the cognitive, linguistic, and emotional factors in item responding that contribute to the function and quality of test items.
Globalized testing through internet: this line of research studies the factors that can buffer response bias due to language, cultural differences, and self-report in the context of online globalized testing.
Methods for causal modeling: this line of research investigates statistical methods for making causal inferences in the absence of random experimental designs. A focus of this research is the methods for causal links such as mediation and moderation.