COMPUTER PERSONNEL SELECTION AND CRITERION DEVELOPMENT: V. PREDICTORS OF SUCCESS IN PROGRAMMER TRAINING.

Abstract

The study is concerned with the prediction of success in programmer training. Data were collected on trainees in 29 classes at a Navy programmer school. Five types of predictors were studied: tests of separate aptitudes thought to be related to programming, a simulated programming test, a mathematics achievement test, an interest inventory, and a biographical information blank. The predictors were validated against midterm grades, which were based on class work and examinations, and against final grades, which were largely determined by performance in writing a program. Analysis of a preliminary battery of 17 aptitude tests revealed four tests that appeared to have sufficiently high correlations with the criteria to warrant individual or combined use in selection. In the analysis of a final bettery of seven tests, the simulated programming test had high correlations with midterm grade and final grade. Multiple correlations of a combination of all tests with the criterion measures were only slightly higher than the correlations using the simulated programming test alone. Analysis of biographical information yielded several variables that could be used as positive indicators of programming potential. A selection strategy is proposed for effective use of background information and tests in making selection decisions. Expectancy charts showing the chances of success in training associated with different test scores are given as part of the selection strategy. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1968
Accession Number
AD0665309

Entities

People

  • Joseph W. Rigney
  • Raymond M. Berger
  • Robert C. Wilson

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Achievement Tests
  • Computer Personnel
  • Computer Programming
  • Computers
  • Indicators
  • Inventory
  • Mathematics
  • Personnel Management
  • Personnel Selection
  • Psychological Tests
  • Trainees
  • Training

Readers

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