A non-technical guide to performing power analysis in R

Ғылым және технология

I walk you through how to perform power analysis using the "pwr" package in R and discuss ways to determine the effect size that you would expect to observe.
Here are some links to a few things I mentioned:
1. "pwr" package: cran.r-project.org/web/packag...
2. "ANOVApower" package: github.com/Lakens/ANOVApower
3. TOSTER package: cran.r-project.org/web/packag...
4. Why you shouldn't use pilot data for calculating power: psyarxiv.com/b7z4q
5. My Effect size distribution paper: www.ncbi.nlm.nih.gov/pubmed/2... and preprint osf.io/5y55v/
6. Registered Reports: cos.io/rr/
7. Equivalence testing primer: journals.sagepub.com/doi/pdf/...

Пікірлер: 16

  • @stepht7805
    @stepht780511 ай бұрын

    Great video thanks for sharing. It's amazing what you can learn with easy explanations!

  • @HunterKayGames
    @HunterKayGames2 жыл бұрын

    So nice video ! You saved my experiment design man (and my PhD) !

  • @therealslinshadyaka.unicow2208
    @therealslinshadyaka.unicow22083 жыл бұрын

    Wow, I really appreciate your video! You have a very nice way of explaining this. For my master Thesis I will be doing linear mixed models though and I wanted to ask you, if you could maybe cover the "simr" package in another video? I really cannot find any simple tutorial/walkthrough for analyzing power in linear mixed models :(

  • @purpledoo
    @purpledoo3 жыл бұрын

    Great video! I have a question: since with ANOVA I have to do post-hoc corrections, do I have to lower the alpha value based on the correction that I want to make? Does R do it itself? Is actually not needed?

  • @sushmitapoudel3752
    @sushmitapoudel37522 жыл бұрын

    Hi daniel, awesome video. I have 5 groups and 3 treatments with unequal seedlings number, how do I do my power analysis?

  • @nedabt1327
    @nedabt13277 ай бұрын

    Hi Daniel, thanks for the tutorials. what is the appropriate test for sample size calculation for multiple proportion comparison?

  • @CanObeyComedy
    @CanObeyComedy3 жыл бұрын

    If possible, I would love an update with the Superpower package!

  • @dsquintana

    @dsquintana

    3 жыл бұрын

    Thanks for the suggestion! I've had a look at this package but need a bit more time to better understand its functions, so I hope to make a screencast with Superpower in the future

  • @balasiddu
    @balasiddu3 жыл бұрын

    Hi Daniel, Thanks for you video. I have a question. How to perform power analysis for logistic regression with an interaction between continuous and binary categorical predictor? In one of my studies, I need to assess the sample size. The study aims to predict the choice of participants with a continuous predictor and a categorical predictor (control vs. experimental). Here we hypothesize that the choice of the participants will be significantly predicted by the interaction between the predictors taken for the study. In this case, how to conduct a power analysis to find out the sample size required for the study.

  • @treoencitrus765

    @treoencitrus765

    3 жыл бұрын

    Hi did you got an answer? And if so, do you have an do-file?

  • @balasiddu

    @balasiddu

    3 жыл бұрын

    @@treoencitrus765 Yes, I got the answer. Please write to me at balachandar.kaliappan@tum.de

  • @treoencitrus765

    @treoencitrus765

    3 жыл бұрын

    @@balasiddu I will (Y)

  • @taraboyd1415
    @taraboyd14153 жыл бұрын

    Just discovered your videos! Can you conduct a power analysis for fMRI data that you've conducted a within-group repeated measures ANOVA for? Struggling to find any info

  • @dsquintana

    @dsquintana

    3 жыл бұрын

    Check out the "superpower" r package cran.r-project.org/web/packages/S… There's also a web app available shiny.ieis.tue.nl/anova_power/

  • @adoi
    @adoi2 жыл бұрын

    2-sample t-test doesn't differentiate between equal and unequal variances, right?

  • @Hamedsaid_CGH
    @Hamedsaid_CGH3 жыл бұрын

    unfortunately the pwr package doesn't have an option for hotelling t2 test

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