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SSD for R

An R Package for Analyzing Single-Subject Data

Second Edition

Charles Auerbach and Wendy Zeitlin

Publication Date - 12 November 2021

ISBN: 9780197582756

224 pages
7 x 10 inches

In Stock

A guide for researchers who want to use this new, free, and innovative software to graph and visualise single subject research designs.


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 and introduces readers to the various functions available in SSD for R, a new, free, and innovative software package written in R--the open-source statistical programming language that was written by the book's authors.

This second edition of SSD for R is the most comprehensive guide to the numerous graphing and charting functions for conducting robust visual analysis including line graphs and more complex standard deviation lines. This book also contains numerous tests of statistical significance, such as t-tests, chi-squares, and the conservative dual criteria. Auerbach and Zeitlin guide readers through the analytical process based on the characteristics of their data. In addition to presentations and assignments, this new edition contains more examples and illustrations to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation.

SSD for R is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. For more instructional videos, blogs, and a growing community of researchers interested in single-subject designs, visit the authors' website: http://ssdanalysis.com.

New to this Edition

  • New chapters on meta-analysis and reproducible research
  • Added accompanying PowerPoint presentations
  • New example data sets
  • Updated assignments


  • Includes access to companion software
  • PowerPoint presentations included for additional learning
  • Ample amount of example datasets
  • Assignments included at the end of each chapter

About the Author(s)

Charles Auerbach, PhD, LCSW is Professor of Social Work at the Wurzweiler School of Social Work, Yeshiva University. He was a visiting professor of emergency medicine at the Albert Einstein College of Medicine from 2005 to 2007. He is currently the chair of research at the Wurzweiler School of Social Work. He is a known methodologist and statistician and Fellow of the Society for Social Work and Research.

Wendy Zeitlin, MSW, PhD is Research Chair in Montclair State's MSW program. She teaches courses in research methods, practice-based research, and diversity. She has held academic appointments at Yeshiva University and Montclair State University. Dr. Zeitlin's scholarly interests focus on research and statistical methods, social work
pedagogy, child welfare involvement among parents with disabilities, and child wellbeing.

Table of Contents

    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 Meta-Analysis in Single-Subject Evaluation Research
    Chapter 8 Using RMarkdown to Present your Findings
    Chapter 9 Building Support for Practice Research
    Appendix A Entering and Editing Data Directly in R
    Appendix B SSD for R Quick Functions Guide
    Appendix C Decision Trees
    Appendix D Bibliography of Additional Resources

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