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Administrative records-based criterion measures.

Martin C Yu1, Matthew C Reeder1, David Dorsey1

  • 1Human Resources Research Organization, Alexandria, Virginia, USA.

Military Psychology : the Official Journal of the Division of Military Psychology, American Psychological Association
|June 23, 2023
PubMed
Summary
This summary is machine-generated.

This study explores using administrative data as objective measures for job performance criteria. It details best practices for data validation, handling missing information, and ensuring replicability in organizational research.

Keywords:
Administrative recordsarchival datacriterion measurementmodern data managementoutcome measures

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Area of Science:

  • Industrial-Organizational Psychology
  • Human Resources Management
  • Data Science

Background:

  • Criterion measures are essential for validating selection and performance assessments.
  • Administrative data offers an objective alternative to traditional ratings-based assessments.
  • Evaluating the suitability of administrative data requires careful consideration of its properties.

Purpose of the Study:

  • To provide a conceptual framework for understanding administrative criterion measures.
  • To outline the advantages and disadvantages of using administrative data in validation.
  • To describe best practices for utilizing administrative data in research and decision-making.

Main Methods:

  • Conceptual analysis of administrative data as criterion measures.
  • Discussion of advantages (e.g., availability) and disadvantages (e.g., contamination).
  • Description of best practices for data handling, checks, and reporting for replicability.

Main Results:

  • Administrative data can serve as objective criterion measures but requires careful evaluation.
  • Key considerations include data availability, potential contamination, and appropriate validation techniques.
  • Best practices enhance the reliability and utility of administrative data for organizational decision-making.

Conclusions:

  • Administrative data offers a valuable, objective source for criterion measures in organizational research.
  • Adherence to best practices in data management and validation is crucial for robust findings.
  • Modern data management approaches can further optimize the use of administrative data for decision support.