• Introduction to advanced statistical analysis • Grouping variables with Factor Analysis and Principal Components Analysis • Grouping cases with Cluster Analysis • Predicting categorical targets with Nearest Neighbor Analysis • Predicting categorical targets with Discriminant Analysis • Predicting categorical targets with Logistic Regression • Predicting categorical targets with Decision Trees • Introduction to Survival Analysis • Introduction to Generalized Linear Models • Introduction to Linear Mixed Models
This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.
