Using Logistic Regression: A Case Study
Regression Logistic regression models are used to predict dichotomous outcomes (e.g.: success/non-success) Many of our dependent variables of interest are well suited for dichotomous analysis Logistic regression is standard in packages like SAS, STATA, R, and SPSS Allows for more holistic understanding of student behavior
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