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Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education.
SSD for R serves as a guide for those desiring to conduct single-subject data analysis. The aim of this text is to introduce readers to the various functions available in SSD for R, a new, free, and innovative software package written in R, the robust open-source statistical programming language, written by the book's authors.
SSD for R has the most comprehensive functionality specifically designed for the analysis of single-subject research data currently available. SSD for R has numerous graphing and charting functions to conduct robust visual analysis. Besides the ability to create simple line graphs, additional features are available to add mean, median and standard deviation lines across phases to help better visualize change over time. Graphs can be annotated with text. SSD for R also contains a wide variety of functions to conduct statistical analyses that have traditionally been conducted with single-subject data. These include numerous descriptive statistics and effect size functions as well as tests of statistical significance, such as t-tests, chi-squares and the conservative dual criteria. Finally, SSD for R has the capability of analyzing group-level data.
The authors step readers through the analytical process based on the characteristics of their data. Numerous examples and illustrations are provided throughout to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation.
This is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. Additionally, the authors have an active website with a growing number of instructional videos and a blog to build a community of researchers interested in single-subject designs.
Introduction: Single-Subject Research Designs in the Social and Health Sciences
Chapter 1 - Getting your Data into SSD for R
Chapter 2 - Overview of SSD for R Functions
Chapter 3 - Analyzing Baseline Phase Data
Chapter 4 - Comparing Baseline and Intervention Phases: Visualizing Your Findings and Descriptive Statistics
Chapter 5 - Statistical Tests of Type I Error
Chapter 6 - Analyzing Group Data
Chapter 7 - Building Support for Practice Research
Dr. Charles Auerbach is a full professor at Yeshiva University and a well-known research methodologist. In addition to SSD for R, Dr. Auerbach was the lead author of SINGWIN, a forerunner of SSD for R. He has published over 80 articles in peer-reviewed publications, and is also the author of multiple book chapters.
Dr. Wendy Zeitlin is an assistant professor at Yeshiva University's Wurzweiler School of Social Work where she teaches courses in single-subject research, statistics, evidence-based social work, child welfare, and cultural competence. Her work has been published in peer-reviewed journals, and she is a frequent presenter at nationally recognized conferences.
"This is an excellent book. It is a valuable resource for a basic understanding of single-subject research data analysis and it gives step-by-step instructions on when and how to access the SSD for R software package."
– Doody's
