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Article: Illustration of a multilevel model for meta-analysis

TitleIllustration of a multilevel model for meta-analysis
Authors
De La Torre, JimmyCamilli, GregoryVargas, SadakoVernon, R. Fox
Issue Date2007
Citation
Measurement and Evaluation in Counseling and Development, 2007, v. 40, n. 3, p. 169-180 How to Cite?
AbstractClustering effect and non-zero intraclass correlation produce the variability that can be observed in meta-analytic data. Statistical modeling is shown to provide a flexible approach to capturing and describing this empirical variability. The most common multilevel approach to analyzing data from meta-analysis is illustrated in this article with a set of 177 studies of behavioral therapies. © 2007 American Counseling Association. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/228051
ISSN
0748-1756
2023 Impact Factor: 1.4
2023 SCImago Journal Rankings: 0.796

 

DC FieldValueLanguage
dc.contributor.authorDe La Torre, Jimmy-
dc.contributor.authorCamilli, Gregory-
dc.contributor.authorVargas, Sadako-
dc.contributor.authorVernon, R. Fox-
dc.date.accessioned2016-08-01T06:45:04Z-
dc.date.available2016-08-01T06:45:04Z-
dc.date.issued2007-
dc.identifier.citationMeasurement and Evaluation in Counseling and Development, 2007, v. 40, n. 3, p. 169-180-
dc.identifier.issn0748-1756-
dc.identifier.urihttp://hdl.handle.net/10722/228051-
dc.description.abstractClustering effect and non-zero intraclass correlation produce the variability that can be observed in meta-analytic data. Statistical modeling is shown to provide a flexible approach to capturing and describing this empirical variability. The most common multilevel approach to analyzing data from meta-analysis is illustrated in this article with a set of 177 studies of behavioral therapies. © 2007 American Counseling Association. All rights reserved.-
dc.languageeng-
dc.relation.ispartofMeasurement and Evaluation in Counseling and Development-
dc.titleIllustration of a multilevel model for meta-analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-35549002841-
dc.identifier.volume40-
dc.identifier.issue3-
dc.identifier.spage169-
dc.identifier.epage180-
dc.identifier.issnl0748-1756-

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