Conducting Meta-Analysis Using SAS

Conducting Meta-Analysis Using SAS

by Winfred Arthur, Jr., Winston Bennett, Allen I. Huffcutt
     
 

Conducting Meta-Analysis Using SAS reviews the meta-analysis statistical procedure and shows the reader how to conduct one using SAS. It presents and illustrates the use of the PROC MEANS procedure in SAS to perform the data computations called for by the two most commonly used meta-analytic procedures, the Hunter & Schmidt and Glassian approaches.

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Overview

Conducting Meta-Analysis Using SAS reviews the meta-analysis statistical procedure and shows the reader how to conduct one using SAS. It presents and illustrates the use of the PROC MEANS procedure in SAS to perform the data computations called for by the two most commonly used meta-analytic procedures, the Hunter & Schmidt and Glassian approaches.

This book serves as both an operational guide and user's manual by describing and explaining the meta-analysis procedures and then presenting the appropriate SAS program code for computing the pertinent statistics. The practical, step-by-step instructions quickly prepare the reader to conduct a meta-analysis. Sample programs available on the Web further aid the reader in understanding the material.

Intended for researchers, students, instructors, and practitioners interested in conducting a meta-analysis, the presentation of both formulas and their associated SAS program code keeps the reader and user in touch with technical aspects of the meta-analysis process. The book is also appropriate for advanced courses in meta-analysis psychology, education, management, and other applied social and health sciences departments.

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Product Details

ISBN-13:
9780805839777
Publisher:
Taylor & Francis
Publication date:
08/28/2001
Series:
Multivariate Applications Series
Pages:
208
Product dimensions:
6.10(w) x 9.00(h) x 0.80(d)

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Table of Contents

Contents: Preface. The Theory of Meta-Analysis—Sampling Error and the Law of Small Numbers. Meta-Analysis of Effect Sizes. Meta-Analysis of Correlations. Outliers in Meta-Analytic Data. Summary and Guidelines for Implementing a Meta-Analysis. Appendices: Reference and Information Sources for the Behavioral and Social Sciences. Equation for Computing the Pooled Within-Group Standard Deviation. Conversion and Transformation Equations. Upper Percentage Points for the Chi-Square Distribution.

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