1985
DOI: 10.1111/j.1744-6570.1985.tb00565.x
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Forty Questions About Validity Generalization and Meta‐analysis

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Cited by 212 publications
(165 citation statements)
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References 85 publications
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“…This does not run counter to the conclusions reached in the validity generalization literature devoted to cognitive ability tests (Hunter, 1986;Schmidt & Hunter, 1981;Schmidt, Pearlman, Hunter, & Hirsh, 1985). In this literature, situational specificity is addressed at the level of the organization, job, time period, or other factors associated with the immediate work environment.…”
Section: Discussionmentioning
confidence: 42%
“…This does not run counter to the conclusions reached in the validity generalization literature devoted to cognitive ability tests (Hunter, 1986;Schmidt & Hunter, 1981;Schmidt, Pearlman, Hunter, & Hirsh, 1985). In this literature, situational specificity is addressed at the level of the organization, job, time period, or other factors associated with the immediate work environment.…”
Section: Discussionmentioning
confidence: 42%
“…Although metaanalyses with few studies may increase variability in effect sizes, they do not affect the mean estimates (Schmidt et al, 1985). One strength of the present study is that it highlights precisely where more research is needed.…”
Section: Limitations and Implications For Future Researchmentioning
confidence: 87%
“…Because of this, we were unable to make conclusive statements about effect sizes for all potential predictors of individual innovation. Despite this limitation this study still makes several important contributions, for even small meta-analyses are less likely to lead to error than narrative reviews (Schmidt, Hunter, Pearlman, & Hirsh, 1985). Many relationships were distinguishable from zero and evidence exists suggesting that non-zero relationships will likely hold when more studies are included.…”
Section: Limitations and Implications For Future Researchmentioning
confidence: 99%
“…Results should therefore be interpreted with caution. Despite the existence of second-order sampling error, the optimal method for aggregating findings is still meta-analysis, as narrative reviews of this literature would be more likely to lead to error (Schmidt, Hunter, Pearlman, & Hirsh, 1985). Other meta-analyses with a similarly small number of studies have been published and successful in stimulating future research (e.g., Allen, Eby, Poteet, Lentz, & Lima, 2004;Riketta, 2008).…”
Section: Limitationsmentioning
confidence: 99%