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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Bibliographic Details
Published in:Research on social work practice Vol. 23; no. 3; pp. 346 - 353
Main Authors: Auerbach, Charles, Schudrich, Wendy Zeitlin
Format: Journal Article
Language:English
Published: Los Angeles, CA SAGE Publications 01-05-2013
SAGE PUBLICATIONS, INC
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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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ISSN:1049-7315
1552-7581
DOI:10.1177/1049731513477213