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SSD for R: An R package for Analyzing Single-Subject Data by Charles Auerbach Details

One-topic research designs have been used to build evidence for effective problem-solving in various disciplines, including social work, psychology, psychiatry, medicine, allied health areas, juvenile justice, and special education. This…

SSD for R synopsis

One-topic research designs have been used to build evidence for effective problem-solving in various disciplines, including social work, psychology, psychiatry, medicine, allied health areas, juvenile justice, and special education. This book serves as a guide for those who wish to conduct data analysis on their own.

This text aims to introduce readers to the various functions available in SSD for R, a new free and innovative software package written in R, the powerful open source statistical programming language written by the authors of the book. SSD for R contains the most comprehensive functionality specifically designed to analyze single-topic search data currently available.

SSD for R contains many graph and graph functions for robust visual analysis. In addition to the ability to create simple linear graphs, additional features are available to add intermediate, intermediate, and standard deviation lines across phases to help better visualize change over time.

Graphs can be added with text. SSD for R also contains a variety of functions to perform statistical analyzes that have traditionally been conducted with single-object data.

These include many descriptive statistics and volume-impact functions in addition to statistically significant tests, such as t-tests, chi boxes and conservative double standards. Finally, SSD for R has the ability to analyze data at the group level.

Authors direct readers through an analytical process based on the characteristics of their data. Many examples and illustrations are provided all the time to help readers understand the wide range of functions available in SSD for R and apply them to data analysis and interpretation.

This is the only book of its kind that describes analysis of individual subject data with a free statistical program to do so. In addition, the authors have an active site with an increasing number of educational videos and a code to build a community of researchers interested in individual designs..



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