Publications | James E. Pustejovsky

Young Ri Lee, James E. Pustejovsky (2021). Comparison of competing approaches to analyzing cross-classified data: Random effects models, ordinary least squares, or fixed effects with cluster robust standard errors.

Preprint Supplementary materials

Megha Joshi, James E. Pustejovsky, S. Natasha Beretvas (2021). Cluster wild bootstrapping to handle dependent effect sizes in meta-analysis with a small number of studies.

Preprint Supplementary materials R package

Man Chen, James E. Pustejovsky (2021). Multi-level meta-analysis of single-case experimental designs using robust variance estimation.

Preprint Code Supplementary materials

James E. Pustejovsky, Elizabeth Tipton (2021). Meta-Analysis with robust variance estimation: Expanding the range of working models.

Preprint Code Dataset Slides Video Journal Supplementary materials

James E. Pustejovsky, Megha Joshi (2021). Evaluating the Transition to College Mathematics Course in Texas high schools: Examining heterogeneity across schools and student characteristics. Greater Texas Foundation White Paper. Greater Texas Foundation, Bryan, TX.

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Laurie E. McLouth, C. Graham Ford, James E. Pustejovsky, Crystal Park, Allen C. Sherman, Kelly Trevino, John A. Salsman (2021). A systematic review and meta‐analysis of effects of psychosocial interventions on spiritual well‐being in adults with cancer. Psycho-Oncology, 30(2), 147-158.

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Jennifer R. Ledford, James E. Pustejovsky (2021). Systematic review and meta-analysis of stay-play-talk interventions for improving social behaviors of young children. Journal of Positive Behavioral Interventions, forthcoming..

Preprint Journal Supplementary materials

James E. Pustejovsky, Megha Joshi (2020). Evaluating the Transition to College Mathematics Course in Texas high schools: Findings from the second year of implementation. Greater Texas Foundation White Paper. Greater Texas Foundation, Bryan, TX.

PDF White paper

Melissa A. Rodgers, James E. Pustejovsky (2020). Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes. Psychological Methods, 26(2), 141-160..

Preprint Journal Supplementary materials

Daniel M. Swan, James E. Pustejovsky, S. Natasha Beretvas (2020). The impact of response-guided designs on count outcomes in single-case experimental design baselines. Evidence-Based Communication Assessment and Intervention, forthcoming.

Code Journal

John A. Salsman, James E. Pustejovsky, Stephen M. Schueller, Rosalba Hernandez, Mark Berendsen, Laurie E. Steffen McLouth, Judith T. Moskowitz (2019). Psychosocial interventions for cancer survivors: A meta-analysis of effects on positive affect. Journal of Cancer Survivorship, 13, 943-955.

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James E. Pustejovsky, Daniel M. Swan, Kyle W. English (2019). An examination of measurement procedures and characteristics of baseline outcome data in single-case research. Behavior Modification, forthcoming.

Preprint Code Dataset Journal

James E. Pustejovsky, Megha Joshi (2019). Evaluating the Transition to College Mathematics Course in Texas high schools: Findings from the first year of implementation. Greater Texas Foundation White Paper. Greater Texas Foundation, Bryan, TX.

PDF White paper

Tom V. Merluzzi, James E. Pustejovsky, Errol J. Philip, Stephanie J. Sohl, Mark Berendsen, John A. Salsman (2019). Interventions to enhance self-efficacy in cancer patients and survivors: A meta-analysis of randomized controlled trials. Psycho-Oncology, 28(9), 1781-1790.

Dataset Journal

Charis L. Wahman, James E. Pustejovsky, Michaelene M. Ostrosky, Rosa Milagros Santos (2019). Examining the effects of social stories on challenging behavior and prosocial skills in young children: A systematic review and meta-analysis. Topics in Early Childhood Special Education, forthcoming.

Preprint Code Dataset Journal

Crystal L. Park, James E. Pustejovsky, Kelly Trevino, Allen C. Sherman, Craig Esposito, Mark Berendsen, John A. Salsman (2019). Effects of psychosocial interventions on meaning and purpose in adults with cancer: A systematic review and meta-analysis. Cancer, 125(14), 2383-2393.

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James E. Pustejovsky (2019). Procedural sensitivities of effect sizes for single-case designs with behavioral outcome measures. Psychological Methods, 24(2), 217-235.

Preprint Supplementary materials Journal

James E. Pustejovsky, Melissa A. Rodgers (2019). Testing for funnel plot asymmetry of standardized mean differences. Research Synthesis Methods, 10(1), 57-71.

Preprint Code Journal

Elizabeth Tipton, James E. Pustejovsky, Hedyeh Ahmadi (2019). Current practices in meta-regression in psychology, education, and medicine. Research Synthesis Methods, 10(2), 180-194.

Preprint Dataset Journal

Elizabeth Tipton, James E. Pustejovsky, Hedyeh Ahmadi (2018). A history of meta-regression: Technical, conceptual, and practical developments between 1974 and 2018. Research Synthesis Methods, 10(2), 161-179.

Preprint Journal

James E. Pustejovsky, Elizabeth Tipton (2018). Small sample methods for cluster-robust variance estimation and hypothesis testing in fixed effects models. Journal of Business and Economic Statistics, 36(4), 672-683.

Preprint Journal R package

Samuel L. Odom, Erin E. Barton, Brian Reichow, Hariharan Swaminathan, James E. Pustejovsky (2018). Between-case standardized effect size analysis of single case design: Examination of the two methods. Research in Developmental Disabilities, 79, 88-96.

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Daniel M. Swan, James E. Pustejovsky (2018). A gradual effects model for single-case designs. Multivariate Behavioral Research, 53(4), 574-593.

Preprint Supplementary materials R package Web app Journal

Kathleen N. Zimmerman, James E. Pustejovsky, Jennifer R. Ledford, Erin E. Barton, Katherine E. Severini, Blair P. Lloyd (2018). Single-case synthesis tools II: Comparing overlap measures and parametric effect sizes for synthesizing antecedent sensory-based interventions. Research in Developmental Disabilities, 79, 65-76.

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Kathleen N. Zimmerman, Jennifer R. Ledford, Katherine E. Severini, James E. Pustejovsky, Erin E. Barton, Blair P. Lloyd (2018). Single-case synthesis tools I: Evaluating the quality and rigor of research on antecedent sensory-based interventions. Research in Developmental Disabilities, 79, 19-32.

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James E. Pustejovsky (2018). Using response ratios for meta-analyzing single-case designs with behavioral outcomes. Journal of School Psychology, 16, 99-112.

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Daniel M. Maggin, Kathleen L. Lane, James E. Pustejovsky (2017). Introduction to the special issue on single-case systematic reviews and meta-analysis. Remedial and Special Education, 38(6), 323-330.

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Erin E. Barton, James E. Pustejovsky, Daniel M. Maggin, Brian Reichow (2017). A meta-analysis of technology-aided instruction and intervention for students with ASD. Remedial and Special Education, 38(6), 371-386.

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Daniel M. Maggin, James E. Pustejovsky, Austin H. Johnson (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.

Preprint Supplementary materials Journal

Eric A. Common, Kathleen L. Lane, James E. Pustejovsky, Austin H. Johnson, Liane E. Johl (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.

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James E. Pustejovsky, John Ferron (2017). Research synthesis and meta-analysis of single-case designs. In J. M. Kauffman, D. P. Hallahan, & P. C. Pullen (Eds.), Handbook of Special Education, 2nd Edition. New York, NY: Routledge.

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Jeffrey C. Valentine, Emily E. Tanner-Smith, James E. Pustejovsky, Timothy S. Lau (2016). Between-case standardized mean difference effect sizes for single-case designs: A primer and tutorial using the scdhlm web application. Oslo, Norway: The Campbell Collaboration.

PDF R package Web app

Elizabeth Tipton, James E. Pustejovsky (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.

Preprint Journal R package

James E. Pustejovsky (2015). Measurement-comparable effect sizes for single-case studies of free-operant behavior. Psychological Methods, 20(3), 342-359.

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Heather S. Jim, James E. Pustejovsky, Crystal L. Park, Suzanne C. Danhauer, Allen C. Sherman, George Fitchett, Thomas V. Merluzzi, Alexis R. Munoz, Logan George, Mallory A. Snyder, John A. Salsman (2015). Religion, spirituality, and physical health in cancer patients: A meta-analysis. Cancer, 121(21), 3760-3768.

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Allen C. Sherman, Thomas V. Merluzzi, James E. Pustejovsky, Crystal L. Park, Logan George, George Fitchett, Heather S. Jim, Alexis R. Munoz, Suzanne C. Danhauer, Mallory A. Snyder, John A. Salsman (2015). A meta-analytic review of religious or spiritual involvement and social health among cancer patients. Cancer, 121(21), 3779-3788.

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John A. Salsman, James E. Pustejovsky, Heather S. Jim, Alexis R. Munoz, Thomas V. Merluzzi, Logan George, Crystal L. Park, Suzanne C. Danhauer, Allen C. Sherman, Mallory A. Snyder, George Fitchett (2015). A meta-analytic approach to examine the relationship between religion/spirituality and mental health in cancer. Cancer, 121(21), 3769-3778.

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James E. Pustejovsky, Daniel M. Swan (2015). Four methods for analyzing partial interval recording data, with application to single-case research. Multivariate Behavioral Research, 50(3), 365-380.

Preprint Supplementary materials Journal

James E. Pustejovsky, Larry V. Hedges, William R. Shadish (2014). Design-comparable effect sizes in multiple baseline designs: A general modeling framework. Journal of Educational and Behavioral Statistics, 39(5), 368-393.

Preprint Supplementary materials Journal R package Web app

James E. Pustejovsky, Christopher Runyon (2014). Alternating renewal process models for behavioral observation: Simulation methods and validity implications. Behavioral Disorders, 39(4), 211-227.

Preprint Journal R package

William R. Shadish, Larry V. Hedges, James E. Pustejovsky, David Rindskopf, Jonathan G. Boyajian, Kristynn J. Sullivan (2014). Analyzing single-case designs: d, G, hierarchical models, Bayesian estimators, generalized additive models, and the hopes and fears of researchers about analyses. In T. R. Kratochwill & J. R. Levin (Eds.), Single-Case Intervention Research: Methodological and Data-Analysis Advances. Washington, D.C.: American Psychological Association.

William R. Shadish, Larry V. Hedges, James E. Pustejovsky (2014). Analysis and meta-analysis of single-case designs with a standardized mean difference statistic: A primer and applications. Journal of School Psychology, 52, 123-147.

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James E. Pustejovsky (2014). Converting from d to r to z when the design uses extreme groups, dichotomization, or experimental control. Psychological Methods, 19(1), 92-112.

Preprint Code Supplementary materials Journal

Larry V. Hedges, James E. Pustejovsky, William R. Shadish (2013). A standardized mean difference effect size for multiple baseline designs. Research Synthesis Methods, 4(4), 324-341.

Journal R package Web app

William R. Shadish, Larry V. Hedges, James E. Pustejovsky, Jonathan G. Boyajian, Kristynn J. Sullivan, Alma Andrade, Jeannette Barrientos (2013). A d-statistic for single-case designs that is equivalent to the usual between-groups d-statistics. Neuropsychological Rehabilitation, 24(3-4), 528-553.

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James E. Pustejovsky (2013). Operationally comparable effect sizes for meta-analysis of single-case research. Dissertation. Northwestern University, Department of Statistics.

PDF Synopsis

Larry V. Hedges, James E. Pustejovsky, William R. Shadish (2012). A standardized mean difference effect size for single case designs. Research Synthesis Methods, 3, 224-239.

Journal R package Web app

James E. Pustejovsky, James P. Spillane (2009). Question-order effects in social network name generators. Social Networks, 31(4), 221-229.

Preprint Dataset Journal