Accuracy or consequential validity: which is the better standard for job analysis data?

✦ Synopsis

The value of research on the accuracy of job analysis is questioned. It is argued that the traditional criteria employed to evaluate job analysis accuracy (i.e., interrater agreement and deviations from proxy true scores) provide information of little practical value. Alternative criteria focusing on the consequences of job analysis data are suggested. Consequence-oriented criteria are clari®ed through a review of the various inferential leaps or decision points that job analysis supports. In addition, the consequences of job analysis are also thought to be a function of the rules governing the making of jobanalysis-based inferences which, unfortunately, are sometimes unspeci®ed in even the most molecular job analysis methodologies.

Renal insufficiency and anemia are indep

Renal insufficiency and anemia are independent risk factors for death among patients with acute myocardial infarction1,21As published material, the contents of this manuscript may not be cited, quoted, reproduced or published without the consent of the authors.2The analyses upon which this publication is based were performed under Contract Number 500-96-P704, entitled âOperation Utilization and Quality Control Peer Review Organization (PRO) for the State of Georgiaâ and sponsored by the Centers for Medicare and Medicaid Services (CMS), Department of Health and Human Services. The conclusions and opinions expressed, and methods used herein are those of the authors. They do not necessarily reflect CMS policy. The authors assume full responsibility for the accuracy and completeness of the ideas presented. This article is a direct result of the Health Care Quality Improvement Program initiated by CMS, which has encouraged identification of quality improvement projects derived from analysis of patterns of care, and therefore required no special funding on the part of this Contractor. Ideas and contributions to the authors concerning experience in engaging with issues presented are welcomed.

✍ Langston, Robert D.; Presley, Rodney; Flanders, W. Dana; Mcclellan, William M. 📂 Article 📅 2003 🏛 Nature Publishing Group 🌐 English ⚖ 373 KB