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.
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