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ERIC Number: EJ1041686
Record Type: Journal
Publication Date: 2014-Oct
Pages: 26
Abstractor: As Provided
Reference Count: 41
ISSN: ISSN-1076-9986
Design-Comparable Effect Sizes in Multiple Baseline Designs: A General Modeling Framework
Pustejovsky, James E.; Hedges, Larry V.; Shadish, William R.
Journal of Educational and Behavioral Statistics, v39 n5 p368-393 Oct 2014
In single-case research, the multiple baseline design is a widely used approach for evaluating the effects of interventions on individuals. Multiple baseline designs involve repeated measurement of outcomes over time and the controlled introduction of a treatment at different times for different individuals. This article outlines a general framework for defining effect sizes in multiple baseline designs that are directly comparable to the standardized mean difference from a between-subjects randomized experiment. The target, design-comparable effect size parameter can be estimated using restricted maximum likelihood together with a small sample correction analogous to Hedges's "g." The approach is demonstrated using hierarchical linear models that include baseline time trends and treatment-by-time interactions. A simulation compares the performance of the proposed estimator to that of an alternative, and an application illustrates the model-fitting process.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305D100046