ERIC Number: ED232598
Record Type: RIE
Publication Date: 1983-May
Reference Count: 0
Discriminant Analysis Applied to Basic Skills Programs. AIR 1983 Annual Forum Paper.
Dumont, Richard G.; Jones, James T.
The statistical technique of discriminant analysis was applied to selected remedial education programs within a statewide system of higher education in the Southeastern United States in an effort to explore that technique's potential for identifying student characteristics (variables) that discriminate between those who are successfully remediated as a result of such programs and those who are not. Attention is focused on the remedial programs at a regional university of about 5,000 students, which offered freshmen remedial courses in mathematics, composition, and reading. The discriminant analysis applied to the remedial mathematics course revealed three variables predictive of successful remediation: math pretest score, perceived usefulness of course, and race. For the remedial composition course, the most predictive variables, in order of importance, were age, confidence in ability to master composition, sex, composition pretest score, perceived usefulness of course, and race. Lastly, for the remedial reading course, the reading pretest score and courses's perceived usefulness were the important predictor variables. Descriptions of all the variables and associated codes are included. (Author/SW)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: AIR Forum
Note: Paper presented at the Annual Forum of the Association for Institutional Research (23rd, Toronto, Ontario, May 23-26, 1983).