Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. 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.

Version:

v26

Audience:

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

Objectives:

Detail:

bsp;
? Generalized Linear Models basics
? Available distributions
? Available link functions

Introduction to Linear Mixed Models
? Linear Mixed Models basics
? Hierarchical Linear Models
? Modeling strategy
? Assumptions of Linear Mixed Models

Pre-Requisites:

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.