Sample size in validity studies of personnel selection.
This report presents the results of several meta-analyses in which samples in the articles published in foumal of Applied Psychology, Joumal of Occupational and Organisational Psychology and Personnel Psychology from 1983 to 1994 were integrated. The findings show that in the last decade a small inc...
| Publicado en: | Journal of Occupational & Organizational Psychology Vol. 71; no. 2; pp. 161 - 165 |
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| Autor principal: | |
| Formato: | research systematic review Journal Article |
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Wiley-Blackwell
Jun98
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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=ccm&AN=107788611&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107788611 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09631798 OOP jtl: Journal of Occupational & Organizational Psychology issn: 09631798 maglogo: Y pubinfo: dt: Jun98 vid: 71 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 107788611 107788611 2011316671 10.1111/j.2044-8325.1998.tb00669.x 107788611 ppf: 161 ppct: 4 formats: tig: atl: Sample size in validity studies of personnel selection. aug: au: Salgado JF affil: Departamento de Psicologia Socialy Bdsica, Universidad de Santiago de Compostela, 15706 Santiago de Compostela, Spain sug: subj: Personnel Selection Sample Size Validation Studies Funding Source Human Meta Analysis Military Personnel Systematic Review ab: This report presents the results of several meta-analyses in which samples in the articles published in foumal of Applied Psychology, Joumal of Occupational and Organisational Psychology and Personnel Psychology from 1983 to 1994 were integrated. The findings show that in the last decade a small increase in sample size has been observed in relation to sample size of studies published two or three decades ago. However, the mean sample continues to be of a small size. This last finding suggests that sampling error continues to be the most important artifactual error for explaining the variability of vahdity coefficients. Some implications for the confidence intervals and power analysis are discussed. pubtype: Academic Journal doctype: meta analysis research systematic review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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