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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
註釋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).