Lijuan (Peggy) Wang

Lijuan (Peggy) Wang

Associate Professor

Ph.D., University of Virginia 

  • Quantitative

(574) 631-7243

111 Haggar Hall

Notre Dame, IN 46556

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The areas of longitudinal data analysis, multilevel modeling, and structural equation modeling.


Lijuan Wang's research interests are in the areas of longitudinal data analysis (e.g., methods and models for studying intra-individual change, variability, and relations, and inter-individual differences in them), multilevel modeling (e.g., dyadic data analysis), structural equation modeling (e.g., mediation analysis), and study design issues (e.g., sample size determination). She is also interested in measurement issues related to longitudinal research. Substantively, she is interested in applying quantitative methods in developmental, family, health, and educational research.

Recent Publications

*co-author was a student when the research was conducted
*Zhang, Q., Wang, L., & Bergeman, C. S. (in press). Multilevel autoregressive mediation models: Specification, estimation, and applications. Psychological Methods.
*Du, H., Liu, F., & Wang L. (in press). A Bayesian "fill in" method for correcting or publication bias in meta-analysis. Psychological Methods.
*Zhang, Q., & Wang, L. (in press). Moderation analysis with missing data in the predictors. Psychological Methods.
*Planalp. E. M., *Du, H., Braungart-Rieker, J. M., & Wang, L. (2017). Growth curve modeling to studying change: A comparison of approaches using longitudinal dyadic data with distinguishable dyads. Structural Equation Modeling, 24(1),  129-147.

Wang, L., & *Anderson, S. F. (2016). A review of intensive longitudinal methods: An introduction to diary and experience sampling research. Journal of Educational and Behavioral Statistics, 41(6), 653-658.
*Du, H.,  & Wang, L. (2016). A Bayesian power analysis procedure considering uncertainty in effect size estimates from a meta-analysis. Multivariate Behavioral Research, 51, 589-605.
Wang, L., & Preacher, K. J. (2015). Moderated mediation analysis using Bayesian methods. Structural Equation Modeling22(2), 249-263.


Wang, L., & Maxwell, S. E. (2015). On disaggregating between-person and within-person effects with longitudinal data using multilevel models. Psychological Methods, 20(1), 63–83.