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IBM SPSS - Intermediate: T-tests and non-parametric equivalents
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.
This course is under great demand. If your circumstances change and you cannot attend, please cancel your enrolment as quickly as possible.
Type of course
Hands-on computer course
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.