Contrast Analysis: Focused Comparisons in the Analysis of Variance - Softcover

Rosenthal, Robert

Softcover

ISBN 10: 0521317967 ISBN 13: 9780521317962

Publisher: Cambridge University Press, 2010

Synopsis

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.

About this title

Book Description

This book examines contrast analysis, which permits asking more focused questions of data. Through simple computations, greater statistical power and clearer substantive interpretations are the result. This book makes it possible for non-mathematical data analysts to simply and efficiently address the focused questions posed by their theories, hypotheses and hunches.

Synopsis

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.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2010
• Language: English
• ISBN 10: 0521317967
• ISBN 13: 9780521317962
• Binding: Paperback
• Number of pages: 120