S. Natasha Beretvas

S. Natasha Beretvas

Professor


Quantitative Methods

Email
tberetvas@austin.utexas.edu

Office & Hours

Office: SZB 538E
Tuesday: 10-11:30am
Thursday: 10-11:30am
BY APPOINTMENT ONLY for students who are not enrolled in my courses and for students in my courses who cannot make their course's office hours.

Phone
(512) 471-0724

Fax
(512) 471-1288

Courses of Instruction
EDP 371: Introduction to Statistics (undergrad/grad)
EDP 382K: Correlation and Regression (grad)
EDP 384: Meta-Analysis (grad)
EDP 382K: Advanced Statistical Modeling (grad)

Mailing Address
The University of Texas at Austin
Educational Psycholy Department
1 University Station Stop
Austin, TX 78712-1294
UT Mail Code: D5800

Profile

 

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).

 

Education

 

BS, Duke University, 1989

MEd, University of Washington, 1997

PhD, University of Washington, 2000

 

Representative Publications

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.

 

 

Recent Awards

  • 2009 Recipient of Regents’ Outstanding Undergraduate Teaching Award

Current Research Projects and Grants

Institute of Education Sciences: "Multilevel synthesis of single-case experimental data: Further developments and empirical validation" (UT PI; funded: $262,622 )

Institute of Education Sciences: "A meta-analysis of parent involvement interventions and family-school partnerships' effects on student outcomes" (UT PI:submitted - $115,033)

Institute of Education Sciences: "An evaluation of statistical procedures and models used to handle student mobility" (PI: under revision)

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).

Boards, Committees and Associations

  • Meadows Center for Preventing Educational Risk, Board Member
  • American Educational Research Association
  •                        Division D
  •                        Hierarchical Linear Modeling Special Interest Group (SIG)
  •                        Structural Equation Modeling SIG
  •                        Educational Statisticians SIG
  • National Council on Measurement in Education
  • American Psychological Association