The One-Way ANOVA is an extension of the independent-samples t-test and is used when comparing more than 2 independent groups. The ANOVA will tell you if there are any significant differences between the groups, but you will need to conduct a post hoc analysis to determine which groups are significantly different.
Running a One-Way ANOVA in SPSS
Interpreting the Output
Reporting Results in APA Style
There was a statistically significant difference between groups as determined by the one-way ANOVA (F(2,62) = 5.467, p = .012). A Tukey post hoc test revealed that the time to respond was significantly lower for those that received the reaction time training (M = 1.3, SD = .5) and those that were experts in the field (M = 1.7, SD = .8) compared to those that had no training (M = 2.8, SD = .7). There was no statistically significant difference between the training group and the expert group (p = .214).