This procedure gives almost similar results to the Pipestat!!!
- In our design Accommodation had three levels (Coll, consist, mp) and the Participants were nested inside the accommodation (one Participant could participate in only one condition or a between-subject design)
- These both were crosses with Distance (5 levels)
- All of these were again crossed with repetition of distances.
- The trick is to consider the nested variables as a single unit when describing the model in Minitab
- So the model for this design would be
- condition participant(condition)
- distance distance*condition distance*participant(condition)
- repetition repetition*condition repetition*participant(condition) repetition*distance repetition*distance*condition repetition*distance*participant(condition)
- It is much better to do it in Pipestat as it figures out the model itself rather than us specifying it.
My original motivation to study the model was to do post-hoc test REGWQ etc. in Minitab but it looks like it does not provide that test.
- Arrange data in columns
- Analyze -> General Linear Model -> Univariate
- Select the Dependent Variable as the value based on which the ANOVA will be run or Grouping in the REGWQ will be done (Error)
- Select Fixed Factors as the independent variables of which the effects need to be found (Distance , Repetition for Anova) (only Distance for REGWQ)
- Select the Random Factor (Participant) [This one is important]
- Select the post-hoc tests you need.
- Click OK