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:
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:
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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