Stapleton, L. M., & #Johnson, T. L. (2019). Models to examine the validity of cluster-level factor structure using individual-level data. Advances in Methods and Practices in Psychological Science, 2, 312-329. https://doi.org/10.1177/2515245919855039
Wang, W., Liao, M., & Stapleton, L. M. (2019). Incidental second-level dependence in educational survey data with a nested data structure. Educational Psychology Review. doi.org/10.1007/s10648-019-09480-6
Bonnéry, D., #Feng, Y., Henneberger, A. K., #Johnson, T. L., Lachowicz, M., Rose, B. A., Shaw, T., Stapleton, L. M., Woolley, M. E., #Zheng, Y. (2019). The promise and limitations of synthetic data as a strategy to expand access to state-level multi-agency longitudinal data. Journal of Research on Educational Effectiveness. doi.org/10.1080/19345747.2019.1631421 Note: authors listed in alphabetical order
Hancock, G. R., Stapleton, L. M., & Mueller, R. (Eds.) (2018). The reviewer’s guide to quantitative methods in the social sciences, 2nd edition. New York, NY: Routledge.Leite, W. L., Stapleton, L. M., & Bettini, E. F. (2018). Propensity score analysis of complex survey data with structural equation modeling: A tutorial with Mplus. Structural Equation Modeling: A Multidisciplinary Journal.
Stapleton, L. M., & Kang, Y. (2018). Design effects of multilevel estimates from national probability samples. Sociological Methods & Research. Advance online publication. doi: 10.1177/0049124116630563
McNeish, D. M., Stapleton, L. M., & Silverman, R. (2017). On the unnecessary ubiquity of hierarchical linear modeling. Psychological Methods, 22,114-140. http://dx.doi.org/10.1037/met0000078
Stapleton, L. M., McNeish, D. M., & Yang, J.-S. (2016). Multi-level and single-level models for measured and latent variables when data are clustered. Educational Psychologist, 51, 317-330. doi: 10.1080/00461520.2016.1207178
Stapleton, L. M., Yang, J. S., & Hancock, G. R. (2016). Construct meaning in multilevel settings. Journal of Educational and Behavioral Statistics, 41, 481-520. doi: 10.3102/1076998616646200