Author

David Hellman

Publication Date

1966

Document Type

Dissertation/Thesis

First Advisor

Hellmich, Eugene W. (Eugene William), 1902-||Miller, Herbert (Professor of mathematics)

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Mathematics

LCSH

Prediction of scholastic success

Abstract

The purpose of this study was to determine the value of certain aptitude and achievement measures are the algebra I and geometry grades. The aptitude measures are tests from the California Test of Mental Maturity (arithmetic reasoning, arithmetic comprehension, and I.Q.) and the Differential Aptitude Test (numerical ability). The sample group consists of 180 students who had completed at least one semester of second year algebra at either of the two high schools in Santa Ana, California, during the years 1963-64, 1964-65, or 1965-66. The arithmetic means, standard deviations, and coefficients of correlation between the algebra II grade and the various aptitude and achievement measures mentioned were calculated. Five regression equations were determined by pairing the items that had the highest coefficients of correlation with the algebra II grade. These equations were then tested by using a random sample from the original group of 180 students. The predictive accuracy of the five equations was low. It is the conclusion of this study that the prediction of success in algebra II from the items considered is not possible with a high degree of accuracy. The study showed that there is apparently a need for a change in either the teaching methods, or the grading policies, or both, within the Santa Ana School System.

Comments

Includes bibliographical references.

Extent

vii, 48 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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