Author Type

Graduate Student

Date of Award

1980

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Kite, Robert H.

Abstract

Community colleges stress institutional goals related to the concept that each individual should have the opportunity to progress as far as his abilities and interests will permit. While this concept does not imply that everyone should have the same education, it does demand diversified educational programs which the community college strives to make available through its curricular offerings. The purpose of this study was to construct predictor equations which would determine an individual's probability of success in introductory level college courses in English (EN 125), social science (SS 28J), business (BU 101), biology (SC 141), and mathematics (MA 151), at Fulton-Montgomery Community College in Johnstown, New York. Percentage of students achieving success in each course and significant differences between courses for students achieving success was calculated. Ten independent variables were correlated with final grades in each course. The following independent variables were found to be important in the regression equations: in EN 125, comprehension score on the Nelson-Denny Reading test; in SS 28J, prior high school social studies background, age and prior high school English background; in BU 101, age, comprehension score, high school mathematics and English grade point average; in SC 141, age, overall high school average, and high school social studies back ground; and in MA 151, comprehension score and high school mathematics background. It was also shown that there was a significant difference between courses for students achieving success. Success percentage in each course varied with instructor.

Extent

148 p.

Comments

Thesis (Educat.D.)--Florida Atlantic University, 1980.|College of Education|FAU Electronic Theses and Dissertations Collection|Thesis (Educat.D.)--Florida Atlantic University, 1980.

Identifier

FADT11765

Format

pdf

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