Wei Wu

Associate Professor

Office:
LD 120C
Phone:
317-274-6976
Email:
wwu1@iu.edu
Research Areas:
Clinical psychology

Education

2008 Ph.D., Quantitative Psychology – Arizona State University

2003 M.S., Personality Psychology - East China Normal University, Shanghai, P. R. China

1997 B.Ed., Special Education - East China Normal University, Shanghai, P. R. China

Publications & Professional Activity

Selected Publications

* The author is a former or current student/graduate advisee.

** The author is a former post doc.

Wu, W., Carroll*, A. I., & Chen*, P-Y. A Single-Level Random Coefficients Cross-Lagged Panel Models for Longitudinal Mediation Analysis. (in press). Behavioral Research Methods.

Lang*, M. K., Wu, W. (2017). Comparison of imputation strategies to nominal missing data. Multivariate Behavior Research, 1-15. doi:10.1080/00273171.2017.1289360

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 Behavior 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, Advance online publication. doi: 10.1080/10705511.2014.938578

Gu*, F., Preacher, K. J., Wu, W., & Yung, Y-F. (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

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. Advance online publication. doi: 10.1177/0165025413515169

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

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.

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

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., & 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.

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* The author is a former or current KU student/graduate advisee.

Awards

2004 -2008       Longitudinal study of grade retention in elementary school. (PI: Jan Hughes). Role: Research assistant and data analyst. Funded by National Institute of Child Health and Human Development.

2010 – 2013     Concordance correlations in evaluating model fit for growth curve models. (PI: Wei Wu). Funded by New Faculty General Fund Program. Total Costs: $8,000.

2010 – 2014     Testing determinants of resilience: maltreatment and the development of adaptive behavior. (PI: Yolanda Jackson; Co-PI: Todd Little). Role: Statistical Consultant. Funded by National Institutes of Health. Total Costs: $1,700,000.

2011 – 2016     Planned missing research designs: power and validity of planned missing data designs in longitudinal research (PI: Wei Wu, CO-PI: Todd Little). Funded by the National Science Foundation (NSF, No. 1053160). Total Costs: $422,900.

2012                Empirical Sampling Distribution (ESD) Approach: A general approach to model fit evaluation and model selection. (PI: Wei Wu, CO-PI: Todd Little). Submitted to National science foundation (NSF). Not funded.

2013-2016        The impact of burnout on patient-centered care: A comparative effectiveness trial in mental health. (PI: Michelle Salyers). Role: Statistical Consultant. Funded by Patient-Centered Outcomes Research Institute (PCORI). Total costs: $1,506,292