Research Interests and Expertise
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).
Current Research Projects and Grants
- Institute of Education Sciences: Multilevel Synthesis of Single-Case Experimental Data: Further Developments and Empirical Validation (UT principal investigator; funded: $262,622)
- Institute of Education Sciences: A Meta-Analysis of Parent Involvement Interventions and Family-School Partnerships’ Effects on Student Outcomes (UT principal investigator; submitted: $115,033)
- Institute of Education Sciences: An Evaluation of Statistical Procedures and Models Used to Handle Student Mobility (principal investigator; under revision)
Boards, Committees, and Associations
- American Educational Research Association:
- Division D
- Hierarchical Linear Modeling Special Interest Group
- Structural Equation Modeling Special Interest Group
- Educational Statisticians Special Interest Group
- National Council on Measurement in Education
- American Psychological Association
- 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.