CODAP (Comprehensive Occupational Data Analysis Programs): Some New Techniques to Improve Job Type Identification and Definition,

Abstract

This paper will discuss previously used indices of 'within' and 'between group overlap and their limited effectiveness in selecting and defining job types from a CODAP Comprehensive Occupational Data Analysis Programs job clustering. Newly developed indices of core-task homogeneity and task uniqueness will be defined, demonstrated, and contrasted with the old indices as to quantity and quality of information provided. Printed output of the CODAP CORSET program, which computes and displays data on computer or analyst selected job groups in terms of the new indices, will be presented and interpreted in terms of their application in several occupational analysis studies.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1981
Accession Number
ADP001363

Entities

People

  • Johnny J. Weissmuller
  • William J. Phalen

Organizations

  • Air Force Research Laboratory

Tags

DTIC Thesaurus Topics

  • Clustering
  • Computers
  • Data Analysis
  • Homogeneity
  • Identification
  • Virginia

Readers

  • Computer Science.
  • Instructional Design and Training Evaluation.
  • Regression Analysis.