Hello,
I am currently in the middle of a project and cannot figure out what statistical test I should use?
In this hypothetical study, my group and I are looking at the effects of a meditation intervention on anxiety levels, EMG activity and golf putting performance. These 3 variables would be measured at two time-points: baseline and post-intervention. To assess whether the meditation program was effective, a control group would be used that doesn't do the meditation program.
So to sum up, we would have:
2 groups: Intervention and control
2 time-points: Pre- and post-intervention
2 different anxiety conditions: Low and high-anxiety
2 dependent variables: EMG activity and putting performance
I understand that the test needs to combine within-subject elements (due to the timepoints and anxiety conditions) and between-subject elements (putting performance and EMG activity). So would a mixed-mode ANOVA be used?
I would appreciate any help anyone can give me.
Kind regards,
T.S.
Hi Mr Thapa,
Thank you for your help. No, so basically we need a condition with high anxiety to test whether a particular phenomenon occurs due to anxiety. So, both groups would perform the putting task in a control ("normal anxiety" situation) and perform it again (on a different day) in a created "high anxiety" situation.
What is the sample that is used and how many are it and whether it has one group or two groups or three groups and what is the title of the thesis or message Is it a correlation or experiment that determines the statistical methods of your research goals
If the study is randomized, split-pot ANOVAs were developed for these analyses. From the question though the design is not entirely clear. Are you blocking on anxiety or do you intend to have 4 groups (one high anxiety intervention, on low anxiety intervention, one high anxiety control, one low anxiety control)?
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