SSD for R : An R Package for Analyzing Single-Subject Data（2）

著者名：Auerbach, Charles/Zeitlin, Wendy

Oxford University Press（2021/10/22発売）

• 言語：ENG
• ISBN：9780197582756
• eISBN：9780197582770

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

IntroductionChapter 1 Getting your Data into SSD for RChapter 2 Overview of SSD for R FunctionsChapter 3 Analyzing Baseline Phase DataChapter 4 Comparing Baseline and Intervention Phases: Visualizing Your Findings and Descriptive StatisticsChapter 5 Statistical Tests of Type I ErrorChapter 6 Analyzing Group DataChapter 7 Meta-Analysis in Single-Subject Evaluation ResearchChapter 8 Using RMarkdown to Present your FindingsChapter 9 Building Support for Practice ResearchAppendix A Entering and Editing Data Directly in RAppendix B SSD for R Quick Functions GuideAppendix C Decision TreesAppendix D Bibliography of Additional Resources