The Prediction of Success in Remedial Mathematics Courses in the Public Community Junior College

Abstract

Data on 181 remedial mathematics students enrolled in seven public community junior colleges were used to develop a regression equation for predicting success in remedial mathematics courses. Appearing as independent variables in the regre88ion equation were: high school average, standard achievement scores in mathematics and English from the CEEB Comparative Guidance and Placement Program, an attitude toward mathematics score, and a mathematics interest score. The criterion variable was a dichotomous variable based on course grades in remedial mathematics. The resulting regression equation was u088-validated using a second sample of 178 remedial students from the seven colleges. Using this regression equation, prediction of success in remedial mathematics courses was made correctly 71 percent of the time.