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  <titleInfo>
    <title>ANOVA and ANCOVA : a GLM approach</title>
  </titleInfo>
  <titleInfo type="alternative">
    <title>Analysis of variance and analysis of covariance</title>
    <subTitle>a general linear model approach</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Rutherford, Andrew</namePart>
    <namePart type="date">1958-</namePart>
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  <genre authority="">Electronic books.</genre>
  <genre authority="local">Electronic books.</genre>
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    <place>
      <placeTerm type="text">Hoboken, N.J</placeTerm>
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    <publisher>Wiley</publisher>
    <dateIssued>©2011</dateIssued>
    <dateIssued encoding="marc">2011</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>1 online resource (xiii, 344 pages) : illustrations</extent>
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  <abstract>Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate dev.</abstract>
  <tableOfContents>Regression, analysis of variance, and analysis of covariance -- Traditional and GLM approaches to independent measures single factor ANOVA designs -- Comparing experimental condition means, multiple hypothesis testing, type 1 error, and a basic data analysis strategy -- Measures of effect size and strength of association, power, and sample size -- GLM approaches to independent measures factorial designs -- GLM appraoches to related measures designs -- The GLM approach to factorial repeated measures designs -- GLM approaches to factorial mixed measures designs -- The GLM approach to ANCOVA -- Assumptions underlying ANOVA, traditional ANCOVA, and GLMs -- Some alternatives to traditional ANCOVA -- Multilevel analysis for the single factor repeated measures design.</tableOfContents>
  <note type="statement of responsibility">Andrew Rutherford.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Analysis of variance</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Analysis of covariance</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Linear models (Statistics)</topic>
  </subject>
  <subject>
    <topic>Analysis of covariance</topic>
  </subject>
  <subject>
    <topic>Analysis of variance</topic>
  </subject>
  <subject>
    <topic>Linear models (Statistics)</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS</topic>
    <topic>Probability &amp; Statistics</topic>
    <topic>General</topic>
  </subject>
  <subject authority="fast">
    <topic>Analysis of covariance</topic>
  </subject>
  <subject authority="fast">
    <topic>Analysis of variance</topic>
  </subject>
  <subject authority="fast">
    <topic>Linear models (Statistics)</topic>
  </subject>
  <classification authority="lcc">QA279 .R879 2011eb</classification>
  <classification authority="ddc" edition="22">519.5/38</classification>
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      <namePart>Rutherford, Andrew, 1958-</namePart>
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      <publisher>Hoboken, N.J. : Wiley, ©2011</publisher>
      <edition>2nd ed.</edition>
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    <identifier type="local">(DLC)  2010018486</identifier>
    <identifier type="local">(OCoLC)615339203</identifier>
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  <identifier type="isbn">9781118491713</identifier>
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  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781118491683</identifier>
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