Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/33946
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dc.contributor.authorKonstantopoulos, Spyrosen_US
dc.date.accessioned2007-01-29en_US
dc.date.accessioned2010-07-07T09:52:38Z-
dc.date.available2010-07-07T09:52:38Z-
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/10419/33946-
dc.description.abstractThe 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.en_US
dc.language.isoengen_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA Discussion Papers |x2198en_US
dc.subject.jelC02en_US
dc.subject.ddc330en_US
dc.subject.keywordmeta-analysisen_US
dc.subject.keywordmixed modelsen_US
dc.subject.keywordmultivariate analysisen_US
dc.titleFixed and mixed effects models in meta-analysisen_US
dc.type|aWorking Paperen_US
dc.identifier.ppn51474698Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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