This study uses a modeling technique often used in economics and other disc
iplines but rarely applied to educational research. The technique, known as
event history modeling, is used to examine the temporal dimensions of stud
ent departure from a large research university. This approach allows resear
chers to remedy analytic problems often found when standard statistical pro
cedures are used to study longitudinal events such as student departure fro
m college. The study confirms most of the substantive findings of earlier r
esearch but we document that key explanatory variables have differential ef
fects over time. Pinpointing the times at which students are at risk of lea
ving college will permit more efficient intervention strategies which could
reduce the social, institutional, and individual costs often associated wi
th leaving college before degree completion. (C) 1999 Elsevier Science Ltd,
All rights reserved.