IBM SPSS - Intermediate: ANOVAs and non-parametric equivalents

Course description

This course builds on the skills taught in the introductory courses as well as on the workshop that introduces basic statistical techniques for difference questions. Various more advanced statistical techniques that belong to ANOVA family are introduced. Although this course is aimed to be practically orientated with extensive use of the IBM SPSS statistical package, theoretical considerations related to the selection of an appropriate statistical test as well as assumptions involved are addressed. 

The details of the connection to the Web Conference will be emailed to enrolled participants a day before the course and again an hour before the event.

Type of course

Web conference

Presenters

Who should attend

Staff and Research Higher Degree Students <!--?xml:namespace prefix = o /--><!--?xml:namespace prefix = o /--><!--?xml:namespace prefix = o /-->

What you will learn

• One-Way Analysis of Variance (GLM Menu)
• Kruskal-Wallis H test 
• Two-Way (between-groups) ANOVA
• Analysis of Covariance - ANCOVA
• Assumptions related to the statistical techniques listed above
• Use of syntax 

Prerequisites / assumed knowledge

Preferably participants should attend Introduction to SPSS, Introduction to Statistical Analysis, Intermediate SPSS: Understanding Your Data and Checking Assumptions and Intermediate SPSS: Basic Statistical Techniques for Difference Questions (or have an understanding of concepts/skills covered in those two introductory courses) before enrolling in this workshop.