Professor, Department of Educational Psychology: Quantitative Methods program
Evaluation and innovative application of psychometric and statistical models; multilevel modeling with a focus on extensions to the conventional multilevel model to handle student mobility and other sources of data structure complexities; meta-analytic techniques (particularly, synthesis of single-case research designs' results).
2009 Regents’ Outstanding Undergraduate Teaching Award
Beretvas, S. N. (2010). Cross-classified and multiple membership models. In J. Hox & J. K. Roberts (Eds.), The handbook of advanced multilevel analysis (pp. 313–334). New York, NY: Routledge.
Chung, H., & Beretvas, S. N. (in press). The impact of ignoring multiple-membership data structures in multilevel models. British Journal of Mathematical and Statistical Psychology.
Grady, M., & Beretvas, S. N. (2010). Incorporating student mobility in achievement growth modeling: A cross-classified multiple membership growth curve model. Multivariate Behavioral Research, 45, 393–419.
Riviello, C., & Beretvas, S. N. (2009). Detecting lag-one autocorrelation in interrupted time series experiments with small datasets. Journal of Modern Applied Statistical Methods, 8, 469–477.
Meyers, J. L., & Beretvas, S. N. (2006). The impact of inappropriate modeling of cross-classified data structures. Multivariate Behavioral Research, 41, 473–497.