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Fixed and Mixed Effects Models in Meta-Analysis

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Author Info
Spyros Konstantopoulos () (Northwestern University and IZA Bonn)
Abstract

The last three decades the accumulation of quantitative research evidence has led to the development of systematic methods for combining information across samples of related studies. Although a few methods have been described for accumulating research evidence over time, meta-analysis is widely considered as the most appropriate statistical method for combining evidence across studies. This study reviews fixed and mixed effects models for univariate and multivariate meta-analysis. In addition, the study discusses specialized software that facilitates the statistical analysis of meta-analytic data.

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File URL: ftp://repec.iza.org/RePEc/Discussionpaper/dp2198.pdf
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Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2198.

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Length: 41 pages
Date of creation: Jul 2006
Date of revision:
Handle: RePEc:iza:izadps:dp2198

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Related research
Keywords: meta-analysis; mixed models; multivariate analysis;

Find related papers by JEL classification:
C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics

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This page was last updated on 2009-12-21.


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