Publications – Multilevel Modeling

Aydin, B., Algina, J., & Leite, W. L. (2019). Comparison of Model and Design-Based Approaches to Detect the Treatment Effect and Covariate by Treatment Interactions in Three-Level Models for Multi-site Cluster Randomized Trials. Behavior Research Methods. 51, 1, 243-357. DOI: 10.3758/s13428-018-1080-1

Leite, W. L., Jimenez, F., Kaya, Y., Stapleton, L. M., MacInnes, J. W., & Sandbach, R. (2015). An evaluation of weighting methods based on propensity scores to reduce selection bias in multilevel observational studies. Multivariate Behavioral Research.

Aydin, B., Leite, W. L, & Algina, J. (2016). The effects of including observed means or latent means as covariates in multilevel models for cluster randomized trials. Educational and Psychological Measurement, 76, 803–823.

Leite, W. L., & Zuo, Y. (2011). Modeling latent Interactions at level two in multilevel structural equation models: An evaluation of mean-centered and residual-centered unconstrained Approaches. Structural Equation Modeling, 18, 449-464.

Shi, Y., Leite, W. L., & Algina, J. (2010). The impact of omitting the interaction between crossed factors in cross-classified random effects modeling. British Journal of Mathematical and Statistical Psychology.63, 1-15.