Lijuan (Peggy) Wang


E436 Corbett Family Hall
Notre Dame, IN 46556
+1 574-631-7243

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Lab for Developmental and Health Research Methodology

Professor Wang is open to admitting graduate students for fall 2024 matriculation.

Primary Area: Quantitative

Research and teaching interests

Lijuan Wang's research interests are in the areas of (intensive) longitudinal data analysis, multilevel modeling, mediation analysis, moderation analysis, and study designs. Substantively, she is interested in applying quantitative methods in developmental, clinical, family, and health disparities research.


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.


Ph.D. from University of Virginia

Approach to Mentoring

I am strongly committed to training the next generation of methodologists and behavioral data scientists. My goal is to help students appreciate the usefulness of statistical methods, gain the confidence and capability to conduct data analyses in a responsible way, and improve their critical thinking skills via hands-on real data analysis and research experiences. For graduate students, my additional goal is to help them develop independent research skills.

Representative Publications

*Indicates a co-author who was a graduate student when the research was initiated.

*Murray, S., Wang, L., Cummings, E. M., & Braungart-Rieker, J. M. (in press). Infant externalizing behavior and parent depressive symptoms: Prospective predictors of parental pandemic related distress. Infancy.

*Liu, X., Zhang, Z., Valentino, K., & Wang, L. (in press). The impact of omitting confounders in parallel process latent growth curve mediation models: Three sensitivity analysis approaches. Structural Equation Modeling.

Qin, X., & Wang, L. (in press). Causal moderated mediation analysis: Methods and software. Behavior Research Methods.

*Liu, X., Liu, F., Miller-Graff, L., Howell, K., & Wang, L. (2023). Causal inference for treatment effects in partially nested designs. Psychological Methods. DOI: 10.1037/met0000565

*Edler, K., *Behrens, B., Wang, L., & Valentino, K. (2022). Validation of the Parental Reflective Functioning Questionnaire among maltreating and nonmaltreating mothers. Journal of Family Psychology.

*Liu, X., Zhang Z., & Wang, L. (2022). Bayesian hypothesis testing of mediation: Methods and the impact of prior odds specifications. Behavior Research Methods. DOI: 10.3758/s13428-022-01860-1

*Devonshire, J. M., Cummings, E. M., & Wang, L. (2022). Long-term interparental conflict behavior and knowledge change after a brief family intervention. Journal of Family Psychology, 37(1), 92–104.

*Wilcox, K. T., & Wang, L. (2021). Modeling approaches for cross-sectional integrative data analysis: Evaluations and Recommendations. Psychological Methods. doi:10.1037/met0000397

Narvaze, D., Gleason, T., *Tarsha, M., *Woodbury, R., Cheng, Y., & Wang, L. (2021). Sociomoral Temperament: A mediator between wellbeing and social outcomes in young children. Frontiers in Psychology. doi: 10.3389/fpsyg.2021.742199

*Tran, D., Braungart-Rieker, J., & Wang, L. (2021). Indirect effects of parental physical discipline on child literacy through child externalizing and internalizing problems: A longitudinal mediation. Developmental Psychology, 57(1), 47-59.

*Liu, X., & Wang, L. (2021). The impact of measurement error and omitting confounders on statistical inference of mediation effects and tools for sensitivity analysis. Psychological Methods, 26(3), 327-342.

*Liu, Q., & Wang, L. (2021). T-test and ANOVA for data with ceiling and/or floor effects. Behavior Research Methods, 53, 264-277.

*Speidel, R., Wang, L., Cummings, E. M., & Valentino, K. (2020). Longitudinal pathways of family influence on child self-regulation: The roles of parenting, family expressiveness, and maternal sensitive guidance in the context of child maltreatment. Developmental Psychology, 56(3), 608-622.

Wang, L., & Zhang, Q. (2020). Investigating the impact of the time interval selection on autoregressive mediation modeling: Result interpretations, effect reporting, and temporal designs. Psychological Methods, 25(3), 271–291.

*Liu, X., & Wang, L. (2020). The combined effects of omitting confounders and measurement error on statistical inference of mediation and a new tool for sensitivity analysis. Multivariate Behavioral Research, 55(1), 137–138.

*Du, H., & Wang, L. (2020). Testing variance components in linear mixed modeling using permutation. Multivariate Behavioral Research, 55(1), 120-136.

*Liu, X., & Wang, L. (2019). Sample size planning for detecting mediation effects: A power analysis procedure considering uncertainty in effect size estimates. Multivariate Behavioral Research, 54(6), 822-839.

Wang, L., Zhang, Q., Maxwell, S. E., & Bergeman, C. S. (2019). On standardizing within-person effects: Potential problems of global standardization. Multivariate Behavioral Research, 54(3), 382-403. 

*Zhang, Q., Yuan, K.-H., & Wang, L. (2019). Asymptotic bias of normal-distribution-based maximum likelihood estimates of moderation effects with missing at random data. British Journal of Mathematical and Statistical Psychology, 72, 334-354.

Wang, L., *Yang, M., & *Liu, X. (2019). The impact of over-simplifying the between-subject covariance structure on inferences of fixed effects in modeling nested data. Structural Equation Modeling, 26(1), 1-11.

Park, I. J. K., *Du, H., Wang, L., Williams, D. R., & Alegría, M. (2019). The role of parents’ ethnic-racial socialization practices in the discrimination—depression link among Mexican-Origin adolescents. Journal of Clinical Child and Adolescent Psychology.  doi: 10.1080/15374416.2018.1547969.