rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: SSD for R
    sub title: an R package for analyzing single-subject data
  title info:
    title: Single-subject data for R
  name:
    name part: Auerbach, Charles
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zeitlin, Wendy
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nyu
    date issued: 2014
    copyright date: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: vii, 160 pages : illustrations ; 26 cm.
  abstract: 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 robust open-source statistical programming language, written by the book's authors. SSD for R has the most comprehensive functionality specifically designed for the analysis of single-subject research data currently available. 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. Graphs can be annotated with text. SSD for R also contains a wide variety of functions to conduct statistical analyses that have traditionally been conducted with single-subject data. These include numerous descriptive statistics and effect size functions as well as tests of statistical significance, such as t-tests, chi-squares and the conservative dual criteria. Finally, SSD for R has the capability of analyzing group-level data. The authors step readers through the analytical process based on the characteristics of their data. Numerous 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. This 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 with a growing number of instructional videos and a blog to build a community of research…
  table of contents: Introduction: Single-Subject Research Designs in the Social and Health Sciences -- 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 -- Building Support for Practice Research.
  note: by Charles Auerbach, PhD. and Wendy Zeitlin, PhD.
  note: Includes bibliographical references and index.
  subject:
    topic: Social sciences
    topic: Research
  subject:
    topic: Single subject research
  subject:
    topic: SOCIAL SCIENCE / Social Work
  classification: H62 .A8493 2014
  classification: 001.4/2
  identifier: 9780199343591 (paperback)
  identifier: 0199343594 (paperback)
  identifier: 2014000957
  record info:
    record content source: DLC
    record creation date: 140306
    record change date: 20151206123032.0
    record identifier: in00003504559