Meta-Analysis
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Author
Publication
2006 - Hogrefe & Huber Publishers, Muenchen, New York (State)
Language
English
Word Count
64,000 words, Guess
Page Count
256 pages
Physical Format
EBook
Identifiers
- Open LibraryOL24298314M
- ISBN-100889372802
- OCLC Control Number56661815
- OCLC Control Number53939814
- OCLC Control Numbermetaanalysiscomp0000schu
and 2 more
- Library of Congress Control Number2003116468
- OverDriveD3475A53-7BAA-420D-AB4A-ED2C0AF28A24
Classifications
- LCCHA29 .S419 2004
Description
In many scientific fields, meta-analysis has become the standard method for summarizing research findings. The number of published applications of the method has been steadily growing in the last 25 years and the statistical procedures of meta-analysis continue to become more and more advanced. This book provides a comprehensive treatment of the statistical procedures for meta-analysis with correlations as an effect size. In the first part, the statistical fundamentals of existing meta-analytical approaches are explained in detail. Fixed as well as random effects models are described and several refinements to improve the performance of the procedures are presented. Additionally, the different procedures are compared from a theoretical viewpoint. In the second part, the results of a comprehensive Monte-Carlo study are presented to evaluate the performance of the major approaches in a large set of possible situations. It shows when the procedures of commonly applied approaches work and when they fail to provide reliable results.
Description
"Meta-analysis has become the standard method for summarizing research findings in many scientific fields. This book provides a comprehensive treatment and comparison of the statistical procedures available for meta-analysis with correlations as effect sizes." "This book is relevant for researchers for whom correlations represent an effect size of vital interest, as well as for those desiring an enhanced understanding of the methods of meta-analysis."--BOOK JACKET.
Subjects
Other Editions
- Meta-Analysis
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