![]() Alternately, you could use a one-way repeated measures ANOVA to understand whether there is a difference in downhill skiing performance based on three different coloured tints of ski goggles (e.g., ski performance under three conditions: wearing brown, blue and red tinted ski goggles). In this example, "anxiety level" is your dependent variable, whilst your independent variable is "time" (i.e., with three related groups, where each of the three time points is considered a "related group"). You will most often come across this situation for two reasons: (a) participants have been measured over multiple time points to see if there have been any changes, usually in response to an intervention or (b) participants have been subjected to more than one condition/trial and the response to each of these conditions is to be compared.įor example, you could use a one-way repeated measures ANOVA to understand whether there is a difference in anxiety levels amongst moderately anxious participants after a hypnotherapy programme aimed at reducing anxiety (e.g., with three time points: anxiety immediately before, 1 month after and 6 months after the hypnotherapy programme). For this reason, the groups are sometimes called "related" groups. One-Way Repeated Measures ANOVA using Stata IntroductionĪ one-way repeated measures ANOVA (also known as a within-subjects ANOVA) is used to determine whether three or more group means are different where the participants are the same in each group.
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