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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.
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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.
Produktdetails
- Produktdetails
- Verlag: Oxford University Press, USA
- 2nd edition
- Seitenzahl: 224
- Erscheinungstermin: 12. November 2021
- Englisch
- Abmessung: 256mm x 179mm x 14mm
- Gewicht: 417g
- ISBN-13: 9780197582756
- ISBN-10: 0197582753
- Artikelnr.: 63091492
- Verlag: Oxford University Press, USA
- 2nd edition
- Seitenzahl: 224
- Erscheinungstermin: 12. November 2021
- Englisch
- Abmessung: 256mm x 179mm x 14mm
- Gewicht: 417g
- ISBN-13: 9780197582756
- ISBN-10: 0197582753
- Artikelnr.: 63091492
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.
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
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
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
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