LEAD 7100 - Intermediate Quantitative Research and Statistics

3 Credits (Minimum) 3 Credits (Maximum)

Focuses on intermediate methods of analyzing and interpreting inferential techniques. Topics include data screening and testing assumptions, multiple regression, logistic regression, multilevel modeling, and missing data techniques. Open to PhD students only. Prer., Introduction to Statistics or equivalent.