On the Use of Beta Coefficients in Meta-Analysis.
This research reports an investigation of the use of standardized regression (beta) coefficients in meta-analyses that use correlation coefficients as the effect-size metric. The investigation consisted of analyzing more than 1,700 corresponding beta coefficients and correlation coefficients harves...
| Publicado en: | Journal of Applied Psychology Vol. 90; no. 1; pp. 175 - 182 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Psychological Association
January 2005
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=513184274&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 513184274 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00219010 JAY jtl: Journal of Applied Psychology issn: 00219010 maglogo: N pubinfo: dt: January 2005 vid: 90 iid: 1 pid: 34 pub: American Psychological Association artinfo: ui: 513184274 10.1037/0021-9010.90.1.175 ppf: 175 ppct: 7 formats: tig: atl: On the Use of Beta Coefficients in Meta-Analysis. aug: au: Peterson, Robert A. Brown, Steven P. su: Psychology -- Statistical methods Beta (Finance) Meta-analysis Applied psychology sug: subj: Psychology -- Statistical methods Beta (Finance) Meta-analysis Applied psychology ab: This research reports an investigation of the use of standardized regression (beta) coefficients in meta-analyses that use correlation coefficients as the effect-size metric. The investigation consisted of analyzing more than 1,700 corresponding beta coefficients and correlation coefficients harvested from published studies. Results indicate that, under certain conditions, using knowledge of corresponding beta coefficients to impute missing correlations (effect sizes) generally produces relatively accurate and precise population effect-size estimates. Potential benefits from applying this knowledge include smaller sampling errors because of increased numbers of effect sizes and smaller nonsampling errors because of the inclusion of a broader array of research designs. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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