20/02/20
Presentations:
10.00 - 11.30 am
Round table on Power Analysis (moderated by Riccardo Villa)
Talk 1 - Choosing effect sizes from previous studies
- Smallest effect or average of effects?
- Why can't we do a posteriori power analysis?
- Should we discuss significant results if the effect size is not big enough?
Talk 2 - Superpower for R
Pros
- no need for past effect size of variance
- corrects for multiple comparisons in exploratory ANOVA
- provides power for main effect and also interactions
Cons
- not for ANCOVA or mixed models
Talk 3 - PASS software
- seems very cool for mixed models... worth the expense?
- simR: free package for R with similar function?
Talk 4 - power for fMRI
- Alisha didn't take notes
Final big question: why power analysis?
- avoiding Type II error
- missing out on important findings!
Suggested readings:
Lakens, D., Scheel, A. M., & Isager, P. M. (2018). Equivalence Testing for Psychological Research: A
Tutorial. Advances in Methods and Practices in Psychological Science, 1(2), 259–269.
https://journals.sagepub.com/doi/full/10.1177/2515245918770963#articleCitationDownloadContainer
Perugini, M., Gallucci, M., & Costantini, G. (2018). A Practical Primer To Power Analysis for Simple
Experimental Designs. International Review of Social Psychology, 31(1), 20
https://www.rips-irsp.com/articles/10.5334/irsp.181/
11.30 - 11.45 Coffee break
11.45 - 12.30
Researcher's quality of life session 2 (moderated by Martina Fanghella and Alisha Vabba)