Student Characteristics That Predict Persistence and Success in Baccalaureate Engineering [electronic resource] / James Levin and John Wyckoff.
The study sought to develop predictive models of persistence and success in baccalaureate engineering at the end of the sophomore year by analyzing 11 intellective and 9 non-intellective variables. A total of 1,043 students in the 1984 entering freshman class in the College of Engineering at Pennsyl...
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Full Text (via ERIC) |
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
[S.l.] :
Distributed by ERIC Clearinghouse,
1990.
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| Subjects: |
MARC
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| 099 | |f ERIC DOC # |a ED320497 | ||
| 100 | 1 | |a Levin, James. | |
| 245 | 1 | 0 | |a Student Characteristics That Predict Persistence and Success in Baccalaureate Engineering |h [electronic resource] / |c James Levin and John Wyckoff. |
| 260 | |a [S.l.] : |b Distributed by ERIC Clearinghouse, |c 1990. | ||
| 300 | |a 13 p. | ||
| 500 | |a ERIC Document Number: ED320497. | ||
| 500 | |a Sponsoring Agency: National Academic Advising Association, Pomona, NJ. |5 ericd. | ||
| 500 | |a ERIC Note: Paper presented at the Annual Meeting of the American Educational Research Association (Boston, MA, April 16-20, 1990). Research also supported in part by a grant from District VI Phi Delta Kappa. |5 ericd. | ||
| 500 | |a Educational level discussed: Higher Education. | ||
| 520 | |a The study sought to develop predictive models of persistence and success in baccalaureate engineering at the end of the sophomore year by analyzing 11 intellective and 9 non-intellective variables. A total of 1,043 students in the 1984 entering freshman class in the College of Engineering at Pennsylvania State University served as the population. Three models were developed to predict sophomore persistence and success at different points in time: pre-enrollment, freshman year, and sophomore year. For the pre-enrollment model, the variables best predicting success were high-school grade point average, algebra score, gender, non-science points, chemistry score, and reason for engineering choice. For the freshman year model, best predictors included grades in Physics I, Calculus I, and Chemistry I. In the sophomore year model, the variables of grades in Calculus II, Physics II, and Physics I were the best predictors. Thus, it was found that the variables which are predictive depend on the student's point of progress through the first 2 years of an engineering program. Includes four references. (JDD) | ||
| 650 | 1 | 7 | |a Academic Achievement. |2 ericd. |
| 650 | 1 | 7 | |a Academic Persistence. |2 ericd. |
| 650 | 0 | 7 | |a College Bound Students. |2 ericd. |
| 650 | 0 | 7 | |a College Freshmen. |2 ericd. |
| 650 | 0 | 7 | |a College Sophomores. |2 ericd. |
| 650 | 1 | 7 | |a Engineering Education. |2 ericd. |
| 650 | 0 | 7 | |a Higher Education. |2 ericd. |
| 650 | 1 | 7 | |a Predictor Variables. |2 ericd. |
| 650 | 0 | 7 | |a Student Characteristics. |2 ericd. |
| 650 | 0 | 7 | |a Undergraduate Students. |2 ericd. |
| 650 | 0 | 7 | |a Withdrawal (Education) |2 ericd. |
| 700 | 1 | |a Wyckoff, John. | |
| 856 | 4 | 0 | |u http://files.eric.ed.gov/fulltext/ED320497.pdf |z Full Text (via ERIC) |
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| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e ED320497 |h Other scheme |i web |n 1 |