- James E Pustejovsky
James E Pustejovsky
James Pustejovsky is a statistician with interests in meta-analysis, causal inference, robust inference, and statistical methods for single-case experimental designs. His recent work has involved developing methods for hypothesis tests based on cluster-robust variance estimation; methods for effect size estimation in single-case research designs; and statistical models for behavioral observation data. He teaches graduate courses in research design, analysis of experimental data, causal inference, and data analysis using R.
Ph.D. in Statistics, Northwestern University, 2013
B.A. in Economics, Boston College, 2003
Interests include meta-analysis, causal inference, robust inference, statistical methods for of single-case research designs, experimental design, and statistical models for behavioral data.
Pustejovsky, J. E., Swan, D. M. & English, K. E. (2019). An examination of measurement procedures and characteristics of baseline outcome data in single-case research. Behavior Modification. doi:https://doi.org/10.1177/0145445519864264.
Tipton, E. & Pustejovsky, J. E. (2019). A history of meta-regression: Technical, conceptual, and practical developments between 1974 and 2018. Research Synthesis Methods, 10(2), 161–179. doi:https://doi.org/10.1002/jrsm.1338.
Tipton, E., Pustejovsky, J. E. & Ahmadi, H. (2019). Current practices in meta-regression in psychology, education, and medicine. Research Synthesis Methods, 10(2), 180–194. doi:https://doi.org/10.1002/jrsm.1339.
Pustejovsky, J. E. & Rodgers, M. A. (2019). Testing for funnel plot asymmetry of standardized mean differences. Research Synthesis Methods, 10(1), 57–71. doi:https://doi.org/10.1002/jrsm.1332.
Swan, D. & Pustejovsky, J. (2018). A gradual effects model for single-case designs. Multivariate Behavioral Research. doi:10.1080/00273171.2018.1466681.
Pustejovsky, J. (2018). Using response ratios for meta-analyzing single-case designs with behavioral outcomes. Journal of School Psychology, 68, 99–112. doi:10.1016/j.jsp.2018.02.003.
Pustejovsky, J. (2018). Procedural sensitivities of effect sizes for single-case designs with directly observed behavioral outcomes. Psychological Methods. doi:10.1037/met0000179.
Maggin, D.M.., Pustejovsky, J.E.. & Johnson, A.H.. (2017). A meta-analysis of school-based group contingency interventions for students with challenging behavior: An update. Remedial and Special Education, 38(6), 353–370. doi:10.1177/0741932517716900.
Common, E.A.., Lane, K.L.., Pustejovsky, J.E.., Johnson, A.H.. & Johl, L.E.. (2017). Functional assessment-based interventions for students with or at-risk for high incidence disabilities: Field-testing single-case synthesis methods. Remedial and Special Education, 38(6), 331–352. doi:10.1177/0741932517693320.
Barton, E.E.., Pustejovsky, J.E.., Maggin, D.M.. & Reichow, B.. (2017). A meta-analysis of technology-aided instruction and intervention for students with ASD. Remedial and Special Education, 38(6), 371–386. doi:10.1177/0741932517729508.
Pustejovsky, J. & Tipton, E. (2016). Small sample methods for cluster-robust variance estimation and hypothesis testing in fixed effects models. Journal of Business and Economic Statistics. doi:10.1080/07350015.2016.1247004.
Pustejovsky, J. & Tipson, E. (2015). Small-sample adjustments for tests of moderators and model fit using robust variance estimation in meta-regression. Journal of Educational and Behavioral Statistics, 40(6), 604–634. doi:10.3102/1076998615606099.
Pustejovsky, J. & Swan, D. M. (2015). Four methods of analyzing partial interval recording data, with application to single-case research. Multivariate Behavioral Research, 50(3), 365–380. doi:10.1080/00273171.2015.1014879.
Institute of Education Sciences
Response Ratio Effect Sizes for Single-Case Designs with Behavioral Outcome Measures (R305D160002). Role: PI Total funding: $199,690 Duration: Aug. 1, 2016-Jul. 31, 2018
Greater Texas Foundation, Greater Texas Foundation Fellows program.
Evaluating the Transition to College Mathematics Course in Texas High Schools Role: PI Total funding: $87,337 Duration: Aug. 1, 2017-Jul. 31, 2020
Institute of Education Sciences
Meta-Analyses of Variables Related to Instruction in Augmentative and Alternative Communication Implementation (R324A180110) Role: Co-PI (PI: Jennifer Ganz, Texas A&M University; Co-PIs: Kimberly Vannest, Texas A&M University, Joe Reichle, University of Minnesota) Total funding: $600,000 (UT sub-award: $83,646) Duration: Sep. 1, 2018-Aug. 31, 2020
Bayesian Analysis of Academic Outcomes from Single-Case Experimental Designs
(R305D190023) Institute of Education Sciences, Statistical and Research Methodology in Education Program. Status: Funded. Role: Co-PI (PI: Ethan Van Norman, Lehigh University; Co-PI: David Klingbeil, UT Austin). Total funding: $899,769 (UT sub-award: $432,259). Duration: Jul. 1, 2019-June. 30, 2022
Outstanding Quantitative Dissertation, Division D (Measurement and Research Methodology) of the American Educational Research Association (2014)
Daniel M Swan, Ph.D., expected 2018 (Co-supervisor)
Gleb Furman (Supervisor)
|2020||Spring||EDP 381C: 14-Causal Inference|
|2019||Fall||EDP 381C: 2-Rsch Dsgn/Mthds: Psy/Educ|
|2019||Spring||EDP 381C: 2-Rsch Dsgn/Mthds: Psy/Educ|
|2019||Spring||EDP 380C: 20-Data Analysis/Simul In R|
|2018||Fall||EDP 381C: 2-Rsch Dsgn/Mthds: Psy/Educ|
|2018||Spring||EDP 381C: 2-Rsch Dsgn/Mthds: Psy & Educ|
|2017||Fall||EDP 381C: 14-Causal Inference|
|2017||Spring||EDP 381C: 2-Rsch Dsgn/Mthds: Psy & Educ|
|2017||Spring||EDP 380C: 20-Data Analysis/Simul In R|
|2016||Fall||EDP 381C: 2-Rsch Dsgn/Mthds: Psy & Educ|
|2016||Spring||EDP 381C: 2-Rsch Dsgn/Mthds: Psy & Educ|
|2016||Spring||EDP 380C: 6-Stat Analysis: Exper Data|
|2015||Fall||EDP 381C: 2-Rsch Dsgn/Mthds: Psy & Educ|
|2015||Fall||EDP 380C: 6-Stat Analysis: Exper Data|
|2015||Spring||EDP 384: 24-Rsch Des/Mthds For Psy/Edu|
|2015||Spring||EDP 384: Data Analysis, Simul, Program|
|2014||Fall||EDP 384: 25-Causal Inference|
|2014||Fall||EDP 384: 24-Rsch Des/Mthds For Psy/Edu|
|2014||Spring||EDP 384: Rsrch Des/Methods For Psych/Ed|