ArticleMilitary psychology : the official journal of the Division of Military Psychology, American Psychological Association
Administrative records-based criterion measures.
Article in Military psychology : the official journal of the Division of Military Psychology, American Psychological Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Commentary on the criterion problem in the US Department of Defense: Policy and operational considerations.Military psychology : the official journal of the Division of Military Psychology, American Psychological AssociationArticle
- Introduction to the special issue on criterion measurement.Military psychology : the official journal of the Division of Military Psychology, American Psychological AssociationArticle
- Comments on the articles dealing with individual performance criteria that are included in this special issue ofMilitary psychology : the official journal of the Division of Military Psychology, American Psychological AssociationArticle
- Identification and evaluation of criterion measurement methods.Military psychology : the official journal of the Division of Military Psychology, American Psychological AssociationReview
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper covers considerations in using criterion measures based on administrative data. We begin with a conceptual framework for understanding and evaluating administrative criterion measures as "objective" rather than (ratings-based) assessments of job performance. We then describe the associated advantages (e.g., availability) and disadvantages (e.g., contamination) of using administrative data for criterion-related validation purposes. Best practices in the use of administrative data for validation purposes, including procedures for (a) handling missing data, (b) performing data checks, and (c) reporting detailed decision rules so future researchers can replicate the analyses are also described. Finally, we discuss "modern data management" approaches for improving administrative data for supporting organizational decision-making.
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Registered trials
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