Announcement

Collapse
No announcement yet.
X
  • Filter
  • Time
  • Show
Clear All
new posts

  • #16
    HI Marcos,

    thanks. Yes, the second and third points are useful, though actually my data series are all measured at the same intervals, and there are no missing data. But I agree, these are advantages. Most non-statisticians are more familiar with "ANOVA" than multilevel models though, hence my desire to know a bit more about the ANOVA approach to repeated measures data.

    Best wishes

    Jem

    Comment


    • #17
      HI Marcos,

      thanks. Yes, the second and third points are useful, though actually my data series are all measured at the same intervals, and there are no missing data. But I agree, these are advantages. Most non-statisticians are more familiar with "ANOVA" than multilevel models though, hence my desire to know a bit more about the ANOVA approach to repeated measures data.

      ​Best wishes

      Jem

      Comment


      • #18
        Hi everyone!
        Are the conclusions here that one can check the assumption of homogenity of variances after running a linear mixed model as follows:

        1) Homogenity of variances:
        . predict stand, rstandard
        predict fit, fitted
        . twoway(scatter stand fit), yline(0)
        Heterogenity indicated if scatterplot is fan shaped.

        2) How to check independency of residuals and linearity assumptions?

        Kind regards,
        Kjell Weyde




        Comment

        Working...
        X