#statstab #371 Safeguard Power as a Protection Against Imprecise Power Estimates
Thoughts: tl;dr - when replicating a study, use the lower end of the CI of the original study as your effect in a power analysis.
#statstab #371 Safeguard Power as a Protection Against Imprecise Power Estimates
Thoughts: tl;dr - when replicating a study, use the lower end of the CI of the original study as your effect in a power analysis.
New blog post
: Your Study Is Too Small (If You Care About Practically Significant Effects)
#effectsize #precision #poweranalysis #research #Psychology #MCID #SESOI #samplesize
How large should your sample size be?
https://vickiboykis.com/2015/08/04/how-large-should-your-sample-size-be/
#statstab #353 The Abuse of Power; The Pervasive Fallacy of Power Calculations for Data Analysis
Thoughts: An seminal paper on "post hoc" power calculations.
#power #QRPs #NHST #posthoc #samplesize #effectsize
https://www.tandfonline.com/doi/abs/10.1198/000313001300339897
#statstab #297 Sample sizes for saturation in qualitative research
Thoughts: A complicated (and contentious) topic for quals research.
#qualitative #research #sample #samplesize #saturation #methodology #guide #review
https://www.sciencedirect.com/science/article/pii/S0277953621008558
"Sample size samba" (Schulz and Grimes 2005) is a glorious way of describing whatever the hell is going on with some papers.
Full text: https://www.unav.edu/documents/10162/36020227/Samplesizecalculations.pdf