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A DECISION—RULE TECHNIQUE FOR PREDICTING ACADEMIC SUCCESS
Author(s) -
Hunt A. W.
Publication year - 1977
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1977.tb01082.x
Subject(s) - statistic , decision rule , computer science , data mining , decision tree , machine learning , operations research , artificial intelligence , statistics , mathematics
The objective of this paper is to illustrate an application of a quantitative decision‐rule strategy which incorporates the Wald classification statistic. An empirical example of this classification technique using data obtained from The University of Texas at Austin Measurement and Evaluation Center is presented. This study originated as an attempt to illustrate the usefulness of this infrequently used statistical technique as a practical tool for “predicting” academic performance. A method for measuring the operational effectiveness of the decision‐rule used is also illustrated. This study emphasizes classification as an important part of statistical analysis and focuses on the Wald classification statistic to illustrate one type of problem for which it is suitable.