James Pustejovsky

Associate Professor

University of Wisconsin-Madison

United States

Research Interests

Explore related searches

Professors in United States Professors in Statistics Statistics professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

James Pustejovsky is an Associate Professor at the University of Wisconsin–Madison, USA. His research primarily focuses on meta-analysis methodologies, including correcting selective reporting bias, multilevel meta-analysis, and power analysis for dependent effect sizes. Recent publications address topics such as augmentative and alternative communication interventions, systematic reviews, and instructional contexts related to communication needs.

Articles (10)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (4)

J. Birdie Ganz

Professor

University of Nebraska - Lincoln

UNITED STATES

View details

Kimberly Vannest

Chair, Professor

University of Vermont

UNITED STATES

View details

Margaret Foster

Professor, Director of the Center for Systematic Reviews and Research Syntheses

Texas A&M University Health Sciences Center

UNITED STATES

View details

Terri Pigott

Professor

University of Georgia

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

James Pustejovsky

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Adapting methods for correcting selective reporting bias in meta-analysis of dependent effect sizes.

Conducting power analysis for meta‐analysis with dependent effect sizes: Common guidelines and an introduction to the POMADE R package

Comparing random effects models, ordinary least squares, or fixed effects with cluster robust standard errors for cross-classified data.

Equivalencies Between Ad Hoc Strategies and Multivariate Models for Meta-Analysis of Dependent Effect Sizes

Multilevel meta-analysis of single-case experimental designs using robust variance estimation.

Systematic Review of Variables Related to Instruction in Augmentative and Alternative Communication Implementation: Group and Single-Case Design

Power Approximations for Overall Average Effects in Meta-Analysis With Dependent Effect Sizes

Considering Instructional Contexts in AAC Interventions for People with ASD and/or IDD Experiencing Complex Communicative Needs: a Single-Case Design Meta-analysis

An Examination of Measurement Procedures and Characteristics of Baseline Outcome Data in Single-Case Research

Augmentative and Alternative Communication Intervention Targets for School-Aged Participants with ASD and ID: a Single-Case Systematic Review and Meta-analysis

Collaborators (4)

J. Birdie Ganz

Kimberly Vannest

Margaret Foster

Terri Pigott

Make your next move.