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Psychological Methods|March 9, 2023
Comparing random effects models, ordinary least squares, or fixed effects with cluster robust standard errors for cross-classified dataYoung Ri Lee, James E PustejovskyPsychological Methods|October 2, 2013
Converting from d to r to z when the design uses extreme groups, dichotomization, or experimental controlJames E PustejovskyJournal of School Psychology|June 5, 2018
Using response ratios for meta-analyzing single-case designs with behavioral outcomesJames E PustejovskyPsychological Methods|June 19, 2018
Procedural sensitivities of effect sizes for single-case designs with directly observed behavioral outcome measuresJames E PustejovskyPsychological Methods|April 30, 2014
Measurement-comparable effect sizes for single-case studies of free-operant behaviorJames E PustejovskyPsychological Methods|July 10, 2025
Adapting methods for correcting selective reporting bias in meta-analysis of dependent effect sizesMan Chen, James E PustejovskyPrevention Science : the Official Journal of the Society for Prevention Research|May 7, 2021
Meta-analysis with Robust Variance Estimation: Expanding the Range of Working ModelsJames E Pustejovsky, Elizabeth TiptonPsychological Methods|July 6, 2026
Addressing selective reporting bias in meta-analysis of dependent effect sizes: A tutorial in RMan Chen, James E PustejovskyPsychological Methods|July 5, 2022
Multilevel meta-analysis of single-case experimental designs using robust variance estimationMan Chen, James E PustejovskyMultivariate Behavioral Research|May 15, 2018
A Gradual Effects Model for Single-Case DesignsDaniel M Swan, James E PustejovskyPageof 5