Overview

This 0K09BG: Advanced Statistical Analysis Using IBM SPSS Statistics v26 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.

Skills Covered

  • 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

Who Should Attend

IBM SPS Statistics users who want to learn advanced statistical methods to be able to better answer research questions.

Course Curriculum

Prerequisites

  • Experience with IBM SPSS Statistics (version 18 or later)
  • Knowledge of statistics, either by on the job experience, intermediate-level statistics oriented courses, or completion of the Statistical Analysis Using IBM SPSS Statistics (V26) course.

Download Syllabus

Course Modules

Request More Information