Comparing more than two means
One factor ANOVA with independent samples. Multiple comparison testing with the Newman-Keuls test
Abstract
This chapter explains how to compare means when you have more than two. For example, you may be comparing the average ratings of ease-of-use for the different tasks that you just asked participants to complete in a usability test. Or, you could be comparing attractiveness of a specific design across different age brackets. Or, you may be comparing more than two task-completion times from a usability test. In all these cases, we use what is called a one-factor analysis of variance (ANOVA). This chapter discusses and illustrates this ANOVA technique, and goes into detail instructing the reader on how to ...
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