Exploratory Models to Link Job Performance to Enlistment Standards
Author | : C. D. Gott |
Publisher | : |
Total Pages | : 103 |
Release | : 1988 |
ISBN-10 | : OCLC:227731940 |
ISBN-13 | : |
Rating | : 4/5 (40 Downloads) |
Download or read book Exploratory Models to Link Job Performance to Enlistment Standards written by C. D. Gott and published by . This book was released on 1988 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Joint Service Job Performance Measurement/Enlistment Standards Project was initiated by Congress in 1980 to develop job performance measures and to subsequently link such measures to enlistment standards for military jobs. The results of these efforts will enable the services to better answer vital questions of military quality requirements. The progress to date has primarily been in the development of job performance measures. The next objective is to relate these on-the-job performance measures to enlistment standards. This paper responds to the second objective by reviewing and evaluating available linking methodologies. Structured interviews were conducted with personnel in key Air Force offices involved in recruiting, selecting, and classifying enlisted personnel to discuss current procedures and candidate models. As a result, four linking models were identified and evaluated: the institutional expectancy chart, break-even analysis, the time to proficiency model, and the Rand cost/performance tradeoff model. Each of these models was analyzed within a common evaluative framework that addressed required inputs, computational requirements, quality of outputs, and strengths and weaknesses of the technique. Evaluation results generally supported the use of the expectancy chart and break-even analysis for simpler linkage goals (e.g., to determine the impact of enlistment standards on general mission capability), whereas the time to proficiency and Rand models were better suited for more complex goals involving cost-benefit ratios and more precise productivity indicators. (sdw).