SSD for R
An R Package for Analyzing Single-Subject Data
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Product details:
- Edition number 2
- Publisher OUP USA
- Date of Publication 27 April 2022
- ISBN 9780197582756
- Binding Paperback
- No. of pages224 pages
- Size 179x256x14 mm
- Weight 417 g
- Language English 407
Categories
Short description:
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.
MoreLong description:
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.
Table of Contents:
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
