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SSD for R

An R Package for Analyzing Single-Subject Data

Second Edition

Charles Auerbach and Wendy Zeitlin

27 April 2022

ISBN: 9780197582756

224 pages

In Stock

Price: £32.99



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

  • 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, Yeshiva University, and Wendy Zeitlin, PhD, MSW, Montclair State University

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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