RATIONAL VS. EMPIRICAL APPROACHES TO JOB/TASK DESCRIPTIONS FOR COBOL PROGRAMMERS

Abstract

The purpose of the paper is to contrast empirical approaches deriving from job analysis and rational approaches deriving from task/equipment analysis, and to suggest the differences in the information to be gained from each. Job analysis establishes what exactly a representative sample of incumbents do on the job. Task/equipment analysis deduces the behavioral requirements for its operators and maintainers from the functional characteristics of equipment, or from task situations that do not yet exist in actuality. The purely empirical approach develops a set of behavioral capabilities together with associated frequencies of occurrence, but cannot guarantee that the required set of behavioral capabilities will be exhaustively enumerated. The purely rational approach will develop an exhaustive set of behavioral capabilities requisite for certain job or task constellations, but will provide no good way of establishing their probabilities of occurrence. Therefore, a combined approach seems desirable. It is illustrated in the context of a COBOL programmer's job. The use of data from combined rational and empirical job/task analyses for statistical models of job families is discussed. The uses of these models in training design is also discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1970
Accession Number
AD0713716

Entities

People

  • Felix F. Kopstein

Organizations

  • Human Resources Research Organization

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Behavioral Sciences
  • Computer Personnel
  • Computer Programming
  • Computer Science
  • Computers
  • Human Factors Engineering
  • Human Resources
  • Human-Machine Systems
  • Job Analysis
  • Machines
  • Probability
  • Psychology
  • Sampling
  • Specifications
  • Task Performance And Analysis
  • Training

Readers

  • Organizational Psychology.
  • Regression Analysis.
  • Theoretical Analysis.