Director of Institutional Research & Assessment Yeshiva University New York, New York, United States
Session Abstract: This workshop is aimed at building a solid understanding of the logistic regression model, and its applications to solve the problems in institutional research. The model can be used to predict student retention, graduation, or the probability of other events happening. This hands-on, interactive workshop uses the real-world data to predict student first-to-second-year retention (one-year retention, the dependent variable) with such independent variables as the first-year college GPA, student gender, ethnicity, the status of receiving the PELL grant, and in-state or out-of-state status. The workshop uses Excel and SPSS to run the model, focusing on interpreting the results, and applying the results to real-world problems.
As a result of this workshop, participants will be able to:
Understand the basic statistical concepts of the logistic regression model.
Understand which assumptions should be tested and how to test the assumptions for the model.
How to run the model, interpret the statistical analysis results, and calculate the effect size.
Understand the real-world applications of the results.
