Linear mixed effect models in Jamovi | 3 | Factor coding, scaling, & residual normality

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  • เผยแพร่เมื่อ 5 พ.ย. 2024

ความคิดเห็น • 5

  • @christophermawhinney6713
    @christophermawhinney6713 7 หลายเดือนก่อน

    These 3 related videos explaining LMM jamovi outputs are fantastic...thanks for taking the time to explain to us mere mortals.

  • @vicentemirallesliborio3573
    @vicentemirallesliborio3573 ปีที่แล้ว

    superhelpful! thank you so much. looking forward to watch any video you'll upload.

  • @vicentemirallesliborio3573
    @vicentemirallesliborio3573 ปีที่แล้ว

    Hello again! I was wondering if you could help me with two questions related to this topic:
    - Choosing a different scale for the dependent variable in the 'covariates scaling' menu, is it the same as choosing a link function in a generalized mixed model?
    - And this same concept, but moving to a more practical level: choosing a generalized mixed model with a Gaussian distribution and a 'log' link function, would it be the same as a linear mixed model with a 'log' scale in your dependent variable? As far as I am concerned, I do not think so, since I tried both and I obtained different p-values for fixed factors.
    Thank you a lot in advance,
    Regards,

    • @VahidAryadoust
      @VahidAryadoust  ปีที่แล้ว

      A quick response: no, these are different concepts, and generalized linear model is a different approach to LMEMs.

    • @vicentemirallesliborio3573
      @vicentemirallesliborio3573 ปีที่แล้ว

      @@VahidAryadoust thank you vahid!