SSD for R A Comprehensive Statistical Package to Analyze Single-System Data
The need for statistical analysis in single-subject designs presents a challenge, as analytical methods that are applied to group comparison studies are often not appropriate in single-subject research. SSD for R is a robust set of statistical functions with wide applicability to single-subject rese...
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Published in: | Research on social work practice Vol. 23; no. 3; pp. 346 - 353 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
Los Angeles, CA
SAGE Publications
01-05-2013
SAGE PUBLICATIONS, INC |
Subjects: | |
Online Access: | Get full text |
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Summary: | The need for statistical analysis in single-subject designs presents a challenge, as analytical methods that are applied to group comparison studies are often not appropriate in single-subject research. SSD for R is a robust set of statistical functions with wide applicability to single-subject research. It is a comprehensive package of statistical tests and produces accompanying graphs for almost every function. These include, among others, tests of autocorrelation, t-tests, effect sizes, median and celeration χ2 analyses, and control charts. All functions and graphs are described in a series of tables. Since SSD for R is open source, it is freely available and can be accessed on the authors’ website, www.ssdanalysis.com. Additional support, including video tutorials and sample data are also available at no charge. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1049-7315 1552-7581 |
DOI: | 10.1177/1049731513477213 |