ERIC Number: ED478173
Record Type: RIE
Publication Date: 2003
Academic Achievement as a Drop Out Predictor.
Tanner, David E.
Improving graduation rates among U.S. elementary and secondary school students requires that one be able to detect which students are at greatest risk for dropping out. There may be a variety of social and psychological differences between those who leave and those who graduate, but there is also evidence that those who abandon school are disproportionately low achievers. This study used reading and mathematics data in a discriminant analysis to predict who is most likely to drop out of school. Two groups of 50 students each were selected from students who had taken both reading and mathematics portions of the Scholastic Assessment Test. The first group consisted of randomly selected dropouts; the second group consisted of graduates. Although achievement data were not dramatically different for dropouts than for graduates, they provide a statistically reliable prediction of who will leave school before graduation. (Contains 2 tables and 17 references.) (Author/SLD)
Publication Type: Reports - Research
Education Level: N/A
Authoring Institution: N/A