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: Effect sizes for research
    sub title: univariate and multivariate applications
  name:
    name part: Grissom, Robert J.
    role:
      role term: creator
    role:
      role term: author
  name:
    name part: Kim, John J.
    role:
      role term: author
  type of resource: text
  origin info:
    place:
      place term: nyu
    place:
      place term: New York
    publisher: Routledge
    date issued: c2012
    date issued: 2012
    edition: 2nd ed
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xvii, 434 p. : ill. ; 24 cm.
  abstract: "Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univariate and multivariate effect sizes. A variety of measures and estimators are reviewed along with their application, interpretation, and limitations. Noted for its practical approach, the book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data. Tips on the use of SPSS, SAS, R, And S-Plus are provided for the more tedious calculations. The book's broad disciplinary appeal results from its inclusion of a variety of examples from psychology, medicine, education, and other social sciences. Special attention is paid to confidence intervals, the statistical assumptions of the methods, and robust estimators of effect sizes. The extensive reference section is appreciated by all. With more than 40% new material, highlights of the new editon include:Three new multivariate chapters covering effect sizes for analysis of covariance, multiple regression/correlation, and multivariate analysis of variance.More learning tools in each chapter including introductions, summaries, "Tips and Pitfalls" and more conceptual and computational questions.More coverage of univariate effect sizes, confidence intervals, and effect sizes for repeated measures to reflect their increased use in research.More software references for calculating effect sizes and their confidence intervals including SPSS, SAS, R, and S-Plus.The data used in the book is now provided on the web along with suggested calculations for computational practice.Effect Sizes for Research, 2nd Edition covers standardized and unstandardized differences between means, correlational measures, strength of association, and parametric and nonparametric measures for between- and within-groups data. The book clearly demonstrates how the choice of an appropriate measure depends on such factors as whether variables are categorical, ordinal, or continuous; sa…
  table of contents: 1. Introduction -- 2. Confidence intervals for comparing the averages of two groups -- 3. The standardized difference between means -- 4. Correlational effect sizes and related topics -- 5. Effect size measures that go beyond comparing two averages -- 6. Effect sizes foe one-way ANOVA and nonparametric approaches -- 7. Effect sizes for factorial designs -- 8. Effect sizes for categorical variables -- 9. Effect sizes for ordinal categorical dependent variables (rating scales) -- 10. Effect sizes for multiple regression/correlation -- 11. Effect sizes for analysis of covariance -- 12. Effect sizes for multivariate analysis of variance
  note: by Robert J. Grissom and John J. Kim
  note: Includes bibliographical references (p. 391-419) and index
  subject:
    topic: Analysis of variance
  subject:
    topic: Effect sizes (Statistics)
  subject:
    topic: Experimental design
  classification: QA279 .G75 2012
  identifier: 0415877687 (hardback : alk. paper)
  identifier: 0415877695 (paperback : alk. paper)
  identifier: 9780415877688 (hardback : alk. paper)
  identifier: 9780415877695 (paperback : alk. paper)
  record info:
    record creation date: 110712
    record change date: 20121205093000.0
    record identifier: 0000078023