Dr. Wei Wu, Ph.D

College of Liberal Arts and Sciences - Psychology
Associate Professor
Primary office:
785-864-9837
Fraser Hall
Room 411
University of Kansas
1415 Jayhawk Boulevard
Lawrence, KS 66045-7556


Ph.D., 2008, Arizona State University
Research Areas: Quantitative Psychology

Teaching Interests

  • Regression analysis
  • Multivariate statistics
  • Structural equation modeling
  • Missing data analysis

Research

My primary quantitative research interests include model fit evaluation, growth curve modeling, structural equation modeling, multilevel (mixed) modeling and missing data analysis. I am also interested in the application of these methods in education, social, developmental and health related studies.

Research Interests

  • Longitudinal Data Analysis
  • Structural equation modeling
  • Multilevel (mixed) modeling
  • Missing data analysis
  • Model fit and model selection

Selected Publications

Lang, K. M., & Wu, W. (in press). Comparison of imputation strategies to nominal missing data. Multivariate Behavioral Research.

Little, T. D., Deboeck, P., & Wu, W. (2016). Longitudinal Data Analysis. In S. K. Whitbourne (Ed.), Emerging Trends in the Behavioral and Social Sciences. Willey and Blackwell.

Little, T. D., Lang, K. M., Wu, W., & Rhemtulla, M. (2016). Missing data. In . (Ed.), Developmental Psychopathology.

Wu, W., Jia, F., Kinai, R., & Little, T. D. (2016). Optimal Number and Allocation of Repeated Measures for Linear Spline Growth Modeling: A Search for Efficient Designs. International Journal of Behavioral Development . DOI:10.1177/0165025416644076

Wu, W., Jia, F., & Enders, C. K. (2015). A comparison of imputation strategies for ordinal missing data on Likert scale variables. Multivariate Behavioral Research. DOI:10.1080/00273171.2015.1022644

Wu, W., Jia, F., Rhemtulla, M., & Little, T. D. (2015). Search for Efficient Complete and Planned Missing Data Designs for Analysis of Change. Behavioral Research Methods. DOI:10.3758/s13428-015-0629-5

Wu, W., & Lang, K. M. (2015). Proportionality assumption in latent basis curve models: a cautionary note. Structural Equation Modeling. DOI:10.1080/10705511.2014.938578

Gu, F., Preacher, K., Wu, W., & Yung, Y. (2014). A Computationally efficient state space approach to estimating multilevel regression models and multilevel confirmatory factor models. Multivariate Behavioral Research, 49, 119-129. DOI:10.1080/00273171.2013.866537

Jorgensen, T. D., Rhemtulla, M., Schoemann, A. M., McPherson, B., Wu, W., & Little, T. D. (2014). Optimal assignment methods in three-form planned missing data designs for longitudinal panel studies. International Journal of Behavioral Development, 38, 397–410. DOI:10.1177/0165025414531094

Rhemtulla, M., Jia, F., Wu, W., & Little, T. D. (2014). Planned missing designs to optimize the efficiency of latent growth parameter estimates. International Journal of Behavior Development. Advance online publication. DOI:10.1177/0165025413514324

Schoemann, A. M., Miller, P. R., Pornprasermanit, P., & Wu, W. (2014). Using Monte Carlo simulations to determine power and sample size for planned missing designs. International Journal of Behavior Development. DOI:10.1177/0165025413515169

Pornprasertmanit, S., Wu, W., & Little, T. D. (2013). Taking into account sampling variability of model selection indices: A parametric bootstrap approach (Abstract). Multivariate Behavioral Research, 48, 168-169.

Wu, W., Selig, J. N., & Little, T. D. (2013). Longitudinal data analysis. In T. D. Little (Ed.), Handbook of Quantitative Methods. Oxford.

Pornprasertmanit, S., Wu, W., & Little, T. D. (2013). Using a Monte Carlo approach for nested model comparisons in structural equation modeling. (Vol. 66, pp. 187-197). In Springer Proceedings in Mathematics & Statistics.

Wu, W., & Jia, F. (2013). A new procedure to test mediation with missing data through nonparametric bootstrapping. Multivariate Behavioral Research, 48, 663 – 691.

Wu, W., & West, S. G. (2013). Detecting Misspecification in Mean Structures for Growth Curve Models: Performance of Pseudo R2 and Concordance Correlation Coefficients. Structural Equation Modeling, 20, 455-478.

Yan, Y., Wu, W., Strunk, B., & Garbutt, J. (2013). Use of factor analysis models to evaluate measurement invariance properties of the Asthma Control Questionnaire (ACQ). Quality of Life Research. DOI:10.1007/s11136-013-0474-x

West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling. New York: Guilford Press.

Wu, W., & Little, T. D. (2011). Quantitative Research Methods. In B. B. Brown & M. Prinstein (Eds.), Encyclopedia of Adolescence. Vol 1: Normative Development. Oxford, UK: Elsevier.

Hughes, J. N., Wu, W., & West, S. G. (2011). Teacher Performance Goal Practices and Elementary Students’ Behavioral Engagement: A Developmental Perspective. Journal of School Psychology, 49, 1-23.

Gu, F., & Wu, W. (2011). Using SAS PROC TCALIS for Multigroup Structural Equation Modeling with Mean Structures. British Journal of Mathematical and Statistical Psychology, 64, 516-537.

Wu, W., West, S. G., & Hughes, J. N. (2010). Effect of grade retention in first grade on psychosocial outcomes and school relationships. Journal of Educational Psychology, 102, 135-152.

Wu, W., & West, S. G. (2010). Sensitivity of SEM Fit Indices to Misspecifications in Growth Curve Models: A Simulation Study. Multivariate Behavioral Research, 45, 420–452.

Parenteau, S. C., Hamilton, N. A., Wu, W., Latinis, K., Waxenberg, L. B., & Brinkmeyer, M. Y. (2010). The Mediating Role of Secular Coping Strategies in the Relationship between Religious Appraisals and Adjustment to Chronic Pain: The Middle Road to Damascus. Social Indicators Research.

Wu, W., West, S. G., & Taylor, A. B. (2009). Evaluating model fit for growth curve models: integration of fit indices from SEM and MLM frameworks. Psychological Methods, 14, 183-201.

West, S. G., & Wu, W. (2008). Evaluating fit in growth models for longitudinal data: Insights from SEM and HLM (abstract). International Journal of Psychology, 43, 369.

Wu, W., West, S. G., & Hughes, J. N. (2008). Effect of retention in first grade on children’s achievement trajectories over four years: A piecewise growth analysis using propensity score matching. Journal of Educational Psychology, 100, 727-740.

Wu, W., West, S. G., & Hughes, J. N. (2008). Short-term effects of grade retention on the growth rate of Woodcock Johnson III broad math and reading scores. Journal of School Psychology, 46, 85-105.

West, S. G., Aiken, L. S., Wu, W., & Taylor, A. B. (2007). Multiple regression: Application of the basics and beyond in personality research. In R. W. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality psychology. New York: Guilford Press.

Khoo, S., West, S. G., Wu, W., & Kwok, O. (2005). Longitudinal methods. In M. Eid & E. Diener (Eds.), Handbook of psychological measurement: A multimethod perspective. Washington, DC: American Psychological Association books.

Selected Grants

Salyers, Michelle, (Principal), The impact of burnout on patient-centered care: A comparative effectiveness trial in mental health, PCORI, $1,506,292, (01/01/2013 - 12/31/2016) . Federal. Status: Funded.

Wu, Wei, (Principal), Little, Todd, (Co-Principal), Planned missing research designs: power and validity of planned missing data designs in longitudinal research, No. 1053160, National science foundation, $422,900, (06/01/2011 - 05/31/2015) . Federal. Status: Funded.

Wu, Wei, (Principal), Concordance correlations in evaluating model fit for growth curve models, New Faculty General Fund Program, $8,000, (06/01/2010 - 06/30/2012) . University (KU or KUMC). Status: Funded.


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