Here are a few things to keep in mind when reporting the results of a one-way ANOVA: There was no statistically significant difference in mean exam scores between technique 1 and technique 3 (p=0.883) or between technique 2 and technique 3 (p=0.067). Tukey’s HSD Test for multiple comparisons found that the mean value of exam score was significantly different between technique 1 and technique 2 (p = 0.024, 95% C.I.
#ANOVA POST HOC IN GRAPHPAD PRISM 8 HOW TO#
Here is how to report the results of the one-way ANOVA:Ī one-way ANOVA was performed to compare the effect of three different studying techniques on exam scores.Ī one-way ANOVA revealed that there was a statistically significant difference in mean exam score between at least two groups (F(2, 27) =, p = 0.02). The following table shows the results of the one-way ANOVA along with the Tukey post-hoc multiple comparisons table: The researcher then performs a one-way ANOVA to determine if there is a difference in mean exam scores between the three groups. At the end of the month, all of the students take the same test. The students are randomly assigned to use one of three studying techniques for the next month to prepare for an exam. Suppose a researcher recruits 30 students to participate in a study. Example: Reporting the Results of a One-Way ANOVA The following example shows how to report the results of a one-way ANOVA in practice. There was no statistically significant difference between and (p=). Tukey’s HSD Test for multiple comparisons found that the mean value of was significantly different between and (p =, 95% C.I. Ī one-way ANOVA revealed that there a statistically significant difference in between at least two groups (F(between groups df, within groups df) =, p = ).
When reporting the results of a one-way ANOVA, we always use the following general structure: A one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups.
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