INVESTIGATION OF CAPER (COMPUTER AIDED PATTERN EVALUATION AND RECOGNITION) TECHNIQUES USING NCAT (NAVY COLLEGE APTITUDE TEST) AND BTB-7 (BASIC TEST BATTERY 7) DATA TO FORECAST SCHOOL PERFORMANCE.

Abstract

The purpose of the research was to conduct a study of the classification of Navy personnel by means of pattern recognition techniques, employing as a data base the test and criterion scores for 1962 and 1963 NROTC Navy College Aptitude Test (NCAT) records and the Navy service schools Basic Test Battery 7 (BTB-7) records. Forecasts of student grade point average and pass/fail by CAPER techniques were made and compared with the results obtained from multiple regression techniques. Essentially identical results were obtained by both methods; this finding is attributed to the absence of nonlinear relationships in the data bases. However, corroboration was made of a finding by earlier investigators that marked improvement in selection of students for service school assignment could be obtained by using all BTB scores rather than one or two. A theorem--upper bound on classification accuracy--provides a technique that was developed and applied to the BTB-7 data base. It shows that the results obtained by both linear and nonlinear techniques approach the predicted upper bound. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1967
Accession Number
AD0659525

Entities

People

  • Donald F. Specht
  • John E. Mangelsdorf
  • Richard E. Klokow

Organizations

  • Lockheed Martin Missiles and Space

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Classification
  • Computers
  • Databases
  • Pattern Recognition
  • Psychological Tests
  • Recognition
  • Test And Evaluation

Fields of Study

  • Education

Readers

  • Military Leadership and Professional Education.
  • Neurotrauma and Rehabilitation Medicine.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms