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Conducting meta-analysis using SAS

Author: Winfred Arthur; Winston Bennett, Jr.; Allen I Huffcutt
Publisher: Mahwah, N.J. : Lawrence Erlbaum Associates, 2001.
Series: Multivariate applications book series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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 and Schmidt and Glassian approaches." "This book serves as both an operational guide and user's manual  Read more...
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Document Type: Book
All Authors / Contributors: Winfred Arthur; Winston Bennett, Jr.; Allen I Huffcutt
ISBN: 0805839771 9780805839777 0805838090 9780805838091
OCLC Number: 45958005
Description: xiii, 188 pages : illustrations ; 23 cm
Contents: The Theory of Meta-Analysis--Sampling Error and the Law of Small Numbers --
General Overview of Meta-Analysis --
Topic Selection--Defining the Research Domain --
Specifying the Inclusion Criteria --
Searching for and Locating Relevant Studies --
Selecting the Final Set of Studies --
Extracting Data and Coding Study Characteristics --
Deciding to Keep Separate or to Aggregate Multiple Data Points (Effect Sizes or Correlations) From the Same Sample--Independence and Nonindependence of Data Points --
Testing for and Detecting Outliers --
Data Analysis--Calculating Mean Effect Sizes or Correlations, Variability, and Correcting for Artifacts; Deciding to Search for Moderators; and Selecting and Testing for Potential Moderators --
Interpreting Results and Making Conclusions --
Analyzing Meta-Analytic Data and the Advantages of the SAS PROC MEANS Approach --
Meta-Analysis of Effect Sizes --
Calculation of Summary Statistics --
Estimation of Sampling Error Variance --
Confidence Intervals --
Correcting Summary Statistics for Artifacts--Criterion Reliability --
Chi-Square Test for Homogeneity --
SAS Printout for Training Effectiveness Example --
Meta-Analysis Results Summary Table and Interpretation of Results for Training Effectiveness Example Used in Tables 2.1, 2.2, 2.4, and 2.6 --
Interpretation of Results Presented in Table 2.7 --
Conducting Moderator Analysis in the Meta-Analysis of Effect Sizes --
Analysis of Moderator Variables --
Fully Hierarchical Moderator Analysis --
Interpretation of Results Presented in Table 2.13.
Series Title: Multivariate applications book series.
Responsibility: Winfred Arthur, Jr., Winston Bennett, Jr., Allen I. Huffcutt.
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Abstract:

This work covers topics such as meta-analysis of effect sizes, meta-analysis of correlations and conversion and transformation equations.  Read more...

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    schema:reviewBody ""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 and 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, a powerful approach to summarizing empirical research. The meta-analysis statistics are explained and interpreted using numerous examples of both SAS code and output. 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 and also courses in statistics, research methods, or measurement in psychology, education, management, and other applied social and health sciences departments where meta-analysis is an important methodological procedure."--Jacket." ;
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