This is a study of factors which affect time-to-degree in first-generation students from a Midwestern research university.Astin’s (1993) Input-Environment-Output (I-E-O) model was utilized to determine the effects of various input and environment variables. Chi-Square tests were performed to find interactions between variables in the model.A binary, logistic regression was utilized to find which variables and interactions had significant effects on time-to-degree.The results indicate that input variables such as input variables such as race/ethnicity and gender, environment variables such as continuous enrollment, average attempted credits per semester, taking summer courses, total credits earned, and missed credits were significant predictors of time-to-degree. Environment variables had a larger effect than input variables, which indicates that colleges can affect time-to-degree in their students.
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First in, last out: time-to-degree of first-generation students