Applying theory to the black box: A model for empirically scoring biodata
| Autor: | Sydney R. Siver, Andrew B. Speer, Neil D. Christiansen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Biodata
Strategy and Management 05 social sciences Construct validity 050109 social psychology General Business Management and Accounting Trait activation theory Job performance Management of Technology and Innovation Black box Scale (social sciences) 0502 economics and business Content validity 0501 psychology and cognitive sciences Generalizability theory Psychology 050203 business & management General Psychology Applied Psychology Cognitive psychology |
| Zdroj: | International Journal of Selection and Assessment. 28:68-84 |
| ISSN: | 1468-2389 0965-075X |
| DOI: | 10.1111/ijsa.12271 |
| Popis: | Despite being an effective predictor of job performance, empirically keyed biodata assessments have been criticized as black box empiricism unlikely to generalize to new contexts. This paper introduces a model that challenges this perspective, explicating how biodata content, job demands, and criterion variables collectively influence the construct validity, and generalizability of empirically scored biodata. Across two field studies, expected changes in scale correlations with external measures were found that coincided with changes in the contextual similarity between calibration and holdout contexts, the criteria used, and the content validity of biodata items. Collectively, this paper offers a framework that helps understand and optimize empirical biodata keying in practice, furthering confidence for their use in applied settings. |
| Databáze: | OpenAIRE |
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