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Q&A: One-way ANOVA If I have data from three or more groups, but I am particularly interested in comparing certain groups with other groups. You can only choose an ordinary one-way ANOVA. It is impossible to run repeated measures ANOVA or a nonparametric test from data entered as mean, SD (or SEM) and N. Select the ones you wish to compare.Ĭan I enter data as mean, SD (or SEM) and N? Yes. After you click Analyze, you'll see a list of all data sets on the right side of the dialog. Enter data for one group into column A, another group into column B, etc.Ĭan I enter data in lots of columns and then choose which to include in the ANOVA? Yes. Q&A: Entering one-way ANOVA data Is it possible to define the groups with a grouping variable? No. Deciding when to use a nonparametric test is not straightforward. But nonparametric tests have less power, and report only P values but not confidence intervals. Nonparametric test? Nonparametric tests, unlike ANOVA are not based on the assumption that the data are sampled from a Gaussian distribution.
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The analyses are identical for repeated measures and randomized block experiments, and Prism always uses the term repeated measures. The other two examples are called randomized block experiments (each set of subjects is called a block, and you randomly assign treatments within each block). The term repeated measures applies strictly when you give treatments repeatedly to one subject (the first example above).
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If you are comparing blood pressures in three groups, it is OK to match based on age or zip code, but it is not OK to match based on blood pressure. Matching should not be based on the variable you are comparing.
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Since you anticipate experiment-to-experiment variability, you want to analyze the data in such a way that each experiment is treated as a matched set.
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Is that due to chance? Or does it tell you the groups are really different? Which groups are different from which other groups?Ĭopyright (c) 2007 GraphPad Software Inc. You've measured a variable in three or more groups, and the means (and medians) are distinct. Comparing three or more groups (one-way ANOVA.