IBM SPSS - Intermediate: T-tests and non-parametric equivalents

Course description

This course builds on the skills taught in the introductory courses, to include basic parametric and non-parametric statistical techniques for assessing differences in location for between groups as well as within-subjects designs. 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

What you will learn

• One-Sample T Test
• Independent-Samples T Test
• Mann-Whitney U Test
• Paired-Samples T Test
• Wilcoxon Signed Rank Test
• One-Way Analysis of Variance (Compare Means Menu)
• 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 and Intermediate SPSS: Understanding Your Data and Checking Assumptions (or have an understanding of concepts/skills covered in those two introductory courses) before enrolling in this workshop.