Recent content by LucieR

  1. L

    Power analysis for mixed-effects model

    Apologies for the late reply - I have been off the last few days with covid. Thank you for all the suggestions. It looks like simulation is the way to go! I don't have any experience in this so if anyone has any resources that may help this would be very much appreciated.
  2. L

    Power analysis for mixed-effects model

    Thank you, I will have a look into that! Could this be an alternative option - https://jakewestfall.shinyapps.io/two_factor_power/? The only issue is that you need the variance estimates to calculate the VPC which I can only get post-hoc. Is there any way around this so that I can determine...
  3. L

    Power analysis for mixed-effects model

    Unfortunately, I don't really have any experience in R/programming in general (beyond the basics). I ran the mixed-effects models in Jamovi - they included one continuous predictor, one categorical predictor, and two cluster variables (two random intercepts). I don't suppose there is any other...
  4. L

    Power analysis for mixed-effects model

    How would I simulate it? I'm guessing this is something that needs to be done on R?
  5. L

    Power analysis for mixed-effects model

    Does anyone know how I can run a power analysis to determine the sample size for a linear mixed-effects model? Can this be done on G*Power? Thanks
  6. L

    mixed effects modelling

    In mixed effects modelling, how do you know whether to include random slopes in your model or just look at random intercepts? Thanks!
  7. L

    Bayesian statistics for Spearman's

    This is really helpful, thank you!
  8. L

    Bayesian statistics for Spearman's

    I have computed several Spearman's correlations already as my data is not normally distributed. I was hoping to use bayesian statistics to demonstrate the lack of relationship between my variables.
  9. L

    Bayesian statistics for Spearman's

    So will the Pearson's r implementation produce the same Bayes factors to a (hypothetical) Spearman's implementation? Many thanks
  10. L

    Bayesian statistics for Spearman's

    Does anyone know if you can compute Bayesian statistics for Spearman's correlations on SPSS?
  11. L

    Correcting for multiple correlations

    In my paper I have computed several correlations. I am trying to figure out the most appropriate correction for my p value. Bonferroni seems to be too conservative as I do not want to mask any interesting results/make type 2 errors because my study is explorative. Does anyone have any...