Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Change Preferences / Time Zone
Sign In
Bluesky
Threads
X (Twitter)
YouTube
Applications are a central part of the college admissions process. However, little is known about how applications vary in complexity or the factors that contribute to their differences. In this study, we examine the complexity of college applications by measuring their number of required elements and using latent class analysis to classify colleges by their application types. We then estimate the influence of institutional characteristics on application complexity using linear regression, and on colleges’ predicted application types using multinomial logistic regression. We find substantive variation in application complexity and classify applications into three types. We also find multiple institutional characteristics associated with application complexity and type. This work contributes to literature on college applications and future studies of college access.