9780521652582-0521652588-Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach

Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach

ISBN-13: 9780521652582
ISBN-10: 0521652588
Edition: 1
Author: Robert Rosenthal, Ralph L. Rosnow, Donald B. Rubin
Publication date: 1999
Publisher: Cambridge University Press
Format: Hardcover 224 pages
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Book details

ISBN-13: 9780521652582
ISBN-10: 0521652588
Edition: 1
Author: Robert Rosenthal, Ralph L. Rosnow, Donald B. Rubin
Publication date: 1999
Publisher: Cambridge University Press
Format: Hardcover 224 pages

Summary

Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach (ISBN-13: 9780521652582 and ISBN-10: 0521652588), written by authors Robert Rosenthal, Ralph L. Rosnow, Donald B. Rubin, was published by Cambridge University Press in 1999. With an overall rating of 3.5 stars, it's a notable title among other Mental Health (Counseling, Psychology & Counseling, Personality, Research, Social Psychology & Interactions, Behavioral Psychology, Behavioral Sciences, Research, Psychology, Social Psychology & Interactions) books. You can easily purchase or rent Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach (Hardcover) from BooksRun, along with many other new and used Mental Health books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Contrasts are statistical procedures for asking focused questions of data. Researchers, teachers of research methods and graduate students will be familiar with the principles and procedures of contrast analysis included here. But they, for the first time, will also be presented with a series of newly developed concepts, measures, and indices that permit a wider and more useful application of contrast analysis. This volume takes on this new approach by introducing a family of correlational effect size estimates. By returning to these correlations throughout the book, the authors demonstrate special adaptations in a variety of contexts from two group comparison to one way analysis of variance contexts, to factorial designs, to repeated measures designs and to the case of multiple contrasts.
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