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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.
Table des matières
- Introduction
- 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
A propos de l'auteur
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.
Résumé
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.
