A Linear Model for ANOVA and Partitioning Variability
In Statistical Analysis II, USF graduate students gain an understanding of the logic, concepts, methods, applications, and limitations of categorical dependent variable analysis. Because students require hands-on experience applying these complex concepts, Dr. Kim partnered with Digital Learning to reimagine the course in a digital environment.
The online course was redesigned to include various interactive elements, providing students the opportunity to practice their skills in applying and interpreting ANOVA and ANCOVA statistical models.
These dynamic drag-n-drop and fill in the blank activities supplement lecture and tutorial content, allowing students to apply their skills in a low stakes environment with real-time feedback.