Archive for July, 2012

General Linear Model in Minitab

This procedure gives almost similar results to the Pipestat!!!

  1. 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)
  2. These both were crosses with Distance (5 levels)
  3. All of these were again crossed with repetition of distances.
  4. The trick is to consider the nested variables as a single unit when describing the model in Minitab
  5. 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)
  6. 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.


Analysis of variance and Ryan’s post-hoc in SPSS

  1.  Arrange data in columns
  2. Analyze -> General Linear Model -> Univariate
  3. Select the Dependent Variable as the value based on which the ANOVA will be run or Grouping in the REGWQ will be done (Error)
  4. Select Fixed Factors as the independent variables of which the effects need to be found (Distance , Repetition for Anova) (only Distance for REGWQ)
  5. Select the Random Factor (Participant) [This one is important]
  6. Select the post-hoc tests you need.
  7. Click OK