A critique and standardization of meta-analytic validity coefficients in personnel selection.

In personnel selection, variations in the interpretation and application of the Hunter and Schmidt meta-analydc procedures often preclude a meaningful comparison between validity coefficients estimated by different meta-analyses. In order to increase the comparability and accuracy of these coeFficic...

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Publicado en:Journal of Occupational & Organizational Psychology Vol. 74; no. 3; pp. 253 - 278
Autores principales: Hermelin E, Robertson IT
Formato: meta analysis research systematic review tables/charts Journal Article
Publicado: Wiley-Blackwell Sep2001
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: A critique and standardization of meta-analytic validity coefficients in personnel selection.
      aug:
        au:
          Hermelin E
          Robertson IT
        affil: Umversity of Manchester Institute of Science and Technology, Manchester, UK
      sug:
        subj:
          Organizations
          Personality Assessment
          Personnel Selection
          Confidence Intervals
          Descriptive Statistics
          Human
          Meta Analysis
          Structured Interview
          Systematic Review
      ab: In personnel selection, variations in the interpretation and application of the Hunter and Schmidt meta-analydc procedures often preclude a meaningful comparison between validity coefficients estimated by different meta-analyses. In order to increase the comparability and accuracy of these coeFficicnts, a standardized set of procedures and cumulated ardfact distributions were used to correct 20 widely reported meta-analydc validity coefficients estimated for six personnel selecdon methods (using job performance as the criterion). Structured interviews and cognitive ability tests demonstrated the highest operadonal validity. Seventeen of the 20 coefficients were found to be affected by moderators according to the Hunter and Schmidt 75% rule. On average, around 50% of variance In the meta-analydc coefficients was explained by the correctable experimental artifacts of sampling error, direct range restriction in the predictor variable, and criterion unreliability. Limitations of this exercise and its implications for future research and pracdce are discussed.
      pubtype: Academic Journal
      doctype:
        meta analysis
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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