Charles Auerbach, Wendy Zeitlin

SSD for R (eBook, ePUB)

An R Package for Analyzing Single-Subject Data

• Format: ePub

Produktbeschreibung

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. This book serves as a guide for those desiring to conduct single-subject data analysis. The aim of this text is to introduce 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, written by the book's authors, Charles Auerbach and Wendy Zeitlin. SSD for R has numerous graphing and charting functions to conduct robust visual analysis. Besides the ability to create simple line graphs, additional features are available to add mean, median and standard deviation lines across phases to help better visualize change over time. 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. Several examples and illustrations are provided throughout 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. Additionally, the authors have an active website (http://ssdanalysis.com) with a growing number of instructional videos and a blog to build a community of researchers interested in single-subject designs.

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Produktdetails

• Verlag: Oxford University Press
• Seitenzahl: 192
• Erscheinungstermin: 4. Juni 2014
• Englisch
• ISBN-13: 9780199343614
• Artikelnr.: 41075834

Autorenporträt

Dr. Auerbach is a full professor at Yeshiva University and a well-known research methodologist. In addition to SSD for R, Dr. Auerbach was the lead author of SINGWIN, a forerunner of SSD for R. He has published over 80 articles in peer-reviewed publications, and is also the author of multiple book chapters. Dr. Zeitlin is an assistant professor at Yeshiva University's Wurzweiler School of Social Work where she teaches courses in single-subject research, statistics, evidence-based social work, child welfare, and cultural competence. Her work has been published in peer-reviewed journals, and she is a frequent presenter at nationally recognized conferences.

Inhaltsangabe

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