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The Resource Conducting meta-analysis using SAS, Winfred Arthur, Jr., Winston Bennett, Jr., Allen I. Huffcutt

Conducting meta-analysis using SAS, Winfred Arthur, Jr., Winston Bennett, Jr., Allen I. Huffcutt

Label
Conducting meta-analysis using SAS
Title
Conducting meta-analysis using SAS
Statement of responsibility
Winfred Arthur, Jr., Winston Bennett, Jr., Allen I. Huffcutt
Creator
Contributor
Subject
Language
eng
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 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
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Arthur, Winfred
Dewey number
150/.7/27
Illustrations
illustrations
Index
index present
LC call number
BF39
LC item number
.A78 2001
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Bennett, Winston
  • Huffcutt, Allen I
Series statement
Multivariate applications book series
http://library.link/vocab/subjectName
  • Psychometrics
  • Psychology
  • Meta-analysis
  • Meta-Analysis as Topic
  • Meta-Analysis
  • Psychology
  • Psychometrics
Label
Conducting meta-analysis using SAS, Winfred Arthur, Jr., Winston Bennett, Jr., Allen I. Huffcutt
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 167-174) and indexes
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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
  • The Theory of Meta-Analysis--Sampling Error and the Law of Small Numbers
  • 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
  • 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
Control code
45958005
Dimensions
24 cm
Extent
xiii, 188 pages
Isbn
9780805839777
Isbn Type
(alk. paper)
Lccn
2001018943
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
Conducting meta-analysis using SAS, Winfred Arthur, Jr., Winston Bennett, Jr., Allen I. Huffcutt
Publication
Bibliography note
Includes bibliographical references (pages 167-174) and indexes
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 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
  • The Theory of Meta-Analysis--Sampling Error and the Law of Small Numbers
  • 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
  • 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
Control code
45958005
Dimensions
24 cm
Extent
xiii, 188 pages
Isbn
9780805839777
Isbn Type
(alk. paper)
Lccn
2001018943
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

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      38.710138 -90.311107
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