Making Sense of Single-Case Design Effect Sizes
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| Title: | Making Sense of Single-Case Design Effect Sizes |
|---|---|
| Language: | English |
| Authors: | Maggin, Daniel M. (ORCID |
| Source: | Learning Disabilities Research & Practice. Aug 2019 34(3):124-132. |
| Availability: | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
| Peer Reviewed: | Y |
| Page Count: | 9 |
| Publication Date: | 2019 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Effect Size, Research Design, Research Reports |
| DOI: | 10.1111/ldrp.12204 |
| ISSN: | 0938-8982 |
| Abstract: | Single-case research methods provide a basis for demonstrating that an intervention produces a reliable change in a targeted outcome for individual cases. To supplement visual analysis of data in single-case studies, researchers frequently report statistics--often referred to as effect sizes--to summarize study findings. The recent proliferation of effect sizes used in single-case research can be confusing. In this article, after reviewing single-case research, we provide an overview of common types of effect sizes used in single-case research, including overlap metrics and within- and between-participant effect sizes, and conclude with examples of these effect sizes in the single-case literature. Our take-home message is that effect sizes are useful complements to visual analysis when interpreting results of single-case design research studies. |
| Abstractor: | As Provided |
| Entry Date: | 2019 |
| Accession Number: | EJ1223697 |
| Database: | ERIC |
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| Abstract: | Single-case research methods provide a basis for demonstrating that an intervention produces a reliable change in a targeted outcome for individual cases. To supplement visual analysis of data in single-case studies, researchers frequently report statistics--often referred to as effect sizes--to summarize study findings. The recent proliferation of effect sizes used in single-case research can be confusing. In this article, after reviewing single-case research, we provide an overview of common types of effect sizes used in single-case research, including overlap metrics and within- and between-participant effect sizes, and conclude with examples of these effect sizes in the single-case literature. Our take-home message is that effect sizes are useful complements to visual analysis when interpreting results of single-case design research studies. |
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| ISSN: | 0938-8982 |
| DOI: | 10.1111/ldrp.12204 |
