Accession Number : ADP000868

Title :   An Iterative Decision Method for Selecting Medical Tasks for Training,

Corporate Author : ACADEMY OF HEALTH SCIENCES (ARMY) FORT SAM HOUSTON TX

Personal Author(s) : Finstuen,Kenn

Report Date : 25 MAR 1983

Pagination or Media Count : 6

Abstract : This paper describes a group decision technique used by training policy managers of the Army Medical Department (AMEDO) to select and prioritize tasks for enlisted medical training programs. The method systematically quantifies a series of training decisions make by k=5 or 7 subject matter expert judges. During the first iteration judges make independent dichotomous decisions (1 = select versus 0 = nonselect) concerning n = 100 to 300 medical performance tasks for a specific military occupational specialty (MOS). Training decisions are analyzed via multiple linear regression procedures, and predicted task scores, goodness-of-fit, and inter-rater reliability measures are computed. Tasks are simultaneously rank ordered by task scores and degree of rater agreement and are displayed in a standard graphic format. The board is convened and the results from the first decision iteration (J1) are examined. Feedback results are used to direct group discussion. After discussion, judges render revised group decisions (J2) on disputed tasks. The judges then rate or rank the selected tasks in terms of combat criticality. Results are used in task analysis and medical training design and development.

Descriptors :   *Military training, *Military personnel, *Research management, *Decision making, *Army training, *Job analysis, Job training, Vocational guidance, Manpower utilization, Skills, Linear regression analysis, Scoring, Feedback, Productivity, Performance(Human), Group dynamics, Statistical analysis, Job satisfaction, Standard deviation, Measurement

Distribution Statement : APPROVED FOR PUBLIC RELEASE