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Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach

New. Sprache: Englisch.
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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 … weiterlesen
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Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach als Taschenbuch

Produktdetails

Titel: Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach
Autor/en: Ralph L. Rosnow, Donald B. Rubin, Robert Rosenthal

ISBN: 0521659809
EAN: 9780521659802
New.
Sprache: Englisch.
CAMBRIDGE UNIV PR

Dezember 1999 - kartoniert - 224 Seiten

Beschreibung

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.

Inhaltsverzeichnis

1. Basic concepts of focused procedures; 2. Basic procedures for two groups; 3. One-way contrast analysis; 4. Contrasts in factorial designs; 5. Contrasts in repeated measures; 6. Multiple contrasts.

Pressestimmen

'A milestone. Contrasts and Effect Sizes in Behavioural Research is bound to remain the definitive word on contrast analysis for many years to come.' Miron Zuckerman, University of Rochester 'Contrasts and Effect Sizes in Behavioural Research ... is a masterpiece of careful exposition. It introduces a framework and terminology for thinking of concepts that will be familiar to anyone who has struggled with the issues of how to represent effects in diverse research literatures, e.g., anyone who has ever done a mata-analysis. It fills a nees that I and others have observed over the years for a careful treatment of computing effect sizes from the diverse and complex designs one finds in behavioural research.' Larry Hedges, University of Chicago
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