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About IES

Natasha Beretvas

ORCID link

Associated IES Content

FY2013

FY2013 Special Education Peer Review Panel

FY2013 - FY2015

FY2013 - FY2015 Statistics and Modeling Peer Review Panel

FY2012

Single-Session Panels
Grant

Meta-Analysis Training Institute

he Meta-Analysis Training Institute will provide researchers with the tools they need to conduct large-scale research syntheses and meta-analyses (50 or more studies) aimed at examining effect size heterogeneity and aligned with SEER principles.
Federal funding program:
Research Training Programs in the Education Sciences
Award number:
R305B220007

FY2019

FY2019 Science, Technology, Engineering, and Mathematics Education (STEM) Peer Review Panel

FY2018

FY2018 Basic Processes Peer Review Panel

FY2018

FY2018 Science, Technology, Engineering, and Mathematics Education (STEM) Peer Review Panel

FY2017

FY2017 Single-Session Peer Review Panel

FY2017

FY2017 Science, Technology, Engineering, and Mathematics Education (STEM) Peer Review Panel
Grant

Meta-Analysis Training Institute

Systematic reviews and meta-analyses can provide insight about what educational interventions work, for whom, and under what conditions. Large-scale meta-analyses can examine how intervention effects might vary across studies, providing insights about what we do or do not know about how to improve outcomes for all students. Thus, increasing the quality of systematic reviews and meta-analysis in education research enhances our understanding of important educational issues and highlights areas...
Federal funding program:
Research Training Programs in the Education Sciences
Award number:
R305B190002

FY2016

FY2016 Science, Technology, Engineering, and Mathematics Education (STEM) Peer Review Panel

FY2015

FY2015 Science, Technology, Engineering, and Mathematics Education (STEM) Peer Review Panel Science FY2015

FY2014

FY2014 Science, Technology, Engineering, and Mathematics Education (STEM) Peer Review Panel
Grant

Multilevel Synthesis of Single-Case Experimental Data: Further Developments and Empirical Validation

The project team further developed the multilevel modeling approach for combining the results of studies that use single-subject experimental designs (SSED). The study empirically investigated the approach using both real data and simulation studies.
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D110024

FY2012 - FY2014

FY2012 - FY2014 Statistics and Modeling Peer Review Panel

FY2011 IES Peer Reviewers

FY2011 IES Research Peer Review Panel

FY2011 - FY2013

FY2011 - FY2013 Statistics and Modeling Peer Review Panel

FY2010 - FY2012

FY2010 - FY2012 Statistics and Modeling Peer Review Panel

FY2010 IES Peer Reviewers

FY2010 IES Research Peer Review Panel

FY2009 IES Peer Reviewers

FY2009 IES Research Peer Review Panel

FY2006 IES Peer Reviewers

FY2006 IES Peer Reviewers
Grant

Methodological Investigation of Effect Size Estimates Used in Meta-Analyses of Single-Case Research Design Results

The purpose of this project is to (1) examine the methods utilized for single-case design meta-analyses to identify effective effect size (ES) descriptors, (2) conduct a meta-analytic study of school-based treatments for children with autism spectrum disorders (ASD), and (3) perform a Monte Carlo simulation to compare the performance of ES estimates designed to describe a treatment's effectiveness with interrupted time series data from single-n AB designed studies.
Federal funding program:
Unsolicited
Award number:
H324U050002*
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