ASCII CODAP Programs for Selecting and Interpreting Task Clusters

Abstract

In the process of developing an operational revision of the CODAP (comprehensive Occupational Data Analysis Programs) system, several major new programs were created to extend the capabilities of the system for identifying and assisting analysts in interpreting potentially significant jobs (groups of similar cases) and task modules (groups of co-performed tasks). The four major programs are CASSET, which identifies the cases that best represent and discriminate among potential job types; CORTAS, which highlights the tasks most characteristics of potential job types; TASSET, which identifies those tasks that best represent and discriminate among task modules (clusters); and CORCAS, which highlights the cases that are most characteristic of the potential task modules (clusters). Used with additional supporting programs, these four primary cluster interpretation programs should greatly expedite and improve the typical occupational analysis of Air Force specialties. Additionally, experimental programs are now available to examine the joint results of both task and case clustering results simultaneously. Such techniques hold considerable promise for making better use of analysts' time by focusing the analysis on key case and task groupings on the basis of predefined analysis criteria. (KR)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1989
Accession Number
ADA213658

Entities

People

  • Jimmy L. Mitchell
  • Michael R. Staley

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Artificial Intelligence
  • Classification
  • Commonality
  • Data Analysis
  • Governments
  • Intelligent Systems
  • Manpower
  • Missouri
  • Security
  • Specifications
  • Standardization
  • Standards
  • Systems Engineering
  • Training
  • United States

Readers

  • Computer Science.
  • Occupational Health and Safety.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.