Contrast analysis : focused comparisons in the analysis of variance

著者

書誌事項

Contrast analysis : focused comparisons in the analysis of variance

Robert Rosenthal and Ralph L. Rosnow

Cambridge University Press, 1985

  • : pbk

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注記

Includes index

内容説明・目次

巻冊次

ISBN 9780521302524

内容説明

This is the first text for those seeking appropriate statistical approaches to research data that is devoted entirely to the topic of contrasts. Contrast analysis permits us to ask more focused questions of our data. In return for a small amount of simple computation, we get very much greater statistical power, and can make very much clearer substantive interpretations of our research results. Contrast analysis should be employed in the context of the analysis of variance whenever the numerator degrees of freedom are greater than one (which is probably most of the time). Unfortunately, it is employed relatively rarely by behavioural and social scientists. This book makes it possible for non-mathematical data analysts to avail themselves of contrasts, and thereby simply and efficiently to address the focused questions posed by their theories, hypotheses, and hunches.
巻冊次

: pbk ISBN 9780521317962

内容説明

This book, first published in 1985, is for those seeking appropriate statistical approaches to research data that is devoted entirely to the topic of contrasts. Contrast analysis permits us to ask more focused questions of our data. In return for a small amount of simple computation, we get greater statistical power, and can make clearer substantive interpretations of the research results. Contrast analysis should be employed in the context of the analysis of variance whenever the numerator degrees of freedom are greater than one (which is probably most of the time). Unfortunately, it is employed relatively rarely by behavioural and social scientists. This book makes it possible for non-mathematical data analysts to avail themselves of contrasts, and thereby simply and efficiently to address the focused questions posed by their theories, hypotheses, and hunches. A wide range of researchers in the behavioural and social sciences, education and business will find this book an invaluable resource.

目次

  • Preface
  • 1. Why contrasts?
  • 2. One-way analysis
  • 3. Two-factor studies
  • 4. Wired-in, pre-analyses, multiples and proportions
  • 5. Repeated-measures designs
  • 6. Mixed sources of variance
  • 7. Practical issues of computations
  • 8. Measuring the benefits of contrasts
  • 9. Conclusion: Abelson's perspective
  • Appendices
  • References
  • Index.

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