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, simple linear regression, multiple linear regression, logistic regression, multilevel modeling, and interrupted time series. Open to PhD students only. Prer., Introduction to Statistics or equivalent.