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About IES

Mariola Moeyaert

Associated IES Content

Grant

Assessing Generalizability and Variability of Single-Case Design Effect Sizes Using Multilevel Modeling Including Moderators

The increasing number of published single-case experimental design (SCED) studies in education sciences can be used to inform policy, research, and practice decisions. Multilevel meta-analysis is one technique to summarize the literature in the SCED field in a standardized, objective, reliable, and valid manner. A three-level meta-analysis is recommended to address the hierarchical structure of the SCED data with effect sizes clustered within cases and cases clustered within studies.
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D190022

Statistics and Modeling FY2021 - FY2024

Statistics and Modeling FY2021 - FY2024

Single-Session Panels FY2024

FY2024 Single-Session Peer Review Panel
Grant

Methods for Investigating Causal Mechanisms in Single-Case Experimental Designs

The goals of this project are to provide single-case researchers with statistical methodology to help understand how interventions produce change in behaviors and/or academic outcomes and how to synthesize this information across cases in a Single-Case Experimental Design (SCED). Interventions to encourage positive classroom behavior and academic outcomes are critical to providing quality education to the American public. Often classroom interventions are implemented on individual students i...
Federal funding program:
Statistical and Research Methodology in Education
Award number:
R305D240044

FY2022

FY2022 Single-Session Peer Review Panel

FY2021

FY2021 Social and Behavioral Peer Review Panel

FY2020

FY2020 Social and Behavioral Peer Review Panel

FY2020 - FY2022

FY2020-FY2022 Statistics and Modeling Peer Review Panel
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