Statistical Methods 2b: Comparing Groups
Course Description
This course focuses on the Analysis of Variance (ANOVA) techniques
which allow you to test whether the means of several populations are the
same. You will develop an understanding of when to apply the techniques, how
to apply them and how to interpret the results.
Who Should Attend
- Analysts and researchers with some statistical training who want to identify
significant differences between two or more groups
Prerequisites
- Knowledge of the basics of IBM®
SPSS® Statistics equivalent to the SPSS course "Level 1:
Introduction", and
- Statistical knowledge equivalent to the level of the SPSS course
"Statistical Methods 1: Essentials"
Course Content
- Logic of testing for mean differences
- Comparing two groups: Review of t-tests
- Comparing more than two groups: ANOVA
- Examining the data
- Hypothesis testing and assumptions
- One-way Analysis of Variance (ANOVA)
- Multi-way Univariate ANOVA
- Multi-way Multivariate ANOVA (MANOVA)
- Nonparametric ('distribution free') alternatives
- Post hoc testing and planned comparisons
- Graphing the results
- Appendix: Repeated Measures ANOVA
SPSS Products Used
- IBM SPSS Statistics Base and IBM SPSS Advanced Statistics*
Duration
*IBM SPSS Statistics formerly known as PASW Statistics.
IBM SPSS Advanced Statistics formerly known as PASW Advanced Statistics.
"Complex concepts were explained in a very clear and easily understandable way."
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