Peer reviewedERIC Number: EJ652547
Record Type: CIJE
Publication Date: 2002
Pages: N/A
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0091-5521
Using Segmentation Modeling To Predict Graduation at a Two-Year Technical College.
Hyers, Albert D.; Zimmerman, Allen
Community College Review, v30 n1 p1-26 Sum 2002
Compares segmentation modeling and logistic regression with regard to a longitudinal study of graduation rates at Ohio State University Agricultural Technical Institute. Suggests that segmentation modeling is as effective as the regression techniques in terms of predictive ability, but that segmentation modeling offers a distinct advantage in identifying discrete subgroups based on multiple independent variables. (Contains 22 references.) (AUTH/NB)
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Ohio State University Agricultural Tech Inst


