Contrast Analysis: Focused Comparisons in the Analysis of Variance

Contrast Analysis: Focused Comparisons in the Analysis of Variance

ISBN-10:
0521317967
ISBN-13:
9780521317962
Pub. Date:
04/26/1985
Publisher:
Cambridge University Press
ISBN-10:
0521317967
ISBN-13:
9780521317962
Pub. Date:
04/26/1985
Publisher:
Cambridge University Press
Contrast Analysis: Focused Comparisons in the Analysis of Variance

Contrast Analysis: Focused Comparisons in the Analysis of Variance

Paperback

$38.99 Current price is , Original price is $38.99. You
$38.99 
  • SHIP THIS ITEM
    Qualifies for Free Shipping
  • PICK UP IN STORE
    Check Availability at Nearby Stores
  • SHIP THIS ITEM

    Temporarily Out of Stock Online

    Please check back later for updated availability.


Overview

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.

Product Details

ISBN-13: 9780521317962
Publisher: Cambridge University Press
Publication date: 04/26/1985
Edition description: New Edition
Pages: 120
Sales rank: 744,727
Product dimensions: 5.98(w) x 9.02(h) x 0.43(d)

Table of Contents

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.
From the B&N Reads Blog

Customer Reviews