#statstab #426 Execution of Replications

Thoughts: A good resource for conducting replications. Different ways to plan your sample size and consider "success/failure".

#replication #OpenScience #metaanalysis #samplesize #sesoi #smalltelescope

https://forrt.org/replication_handbook/execution_replications.html

#statstab #417 {pwrss} Practical Power Analysis in R

Thoughts: Some useful vignettes for conducting power analyses for various designs, constraints, and data types.

#poweranalysis #samplesize #r #power #guide #tutorial #sesoi #equivalence #tost #rstats

https://cran.r-project.org/web/packages/pwrss/vignettes/examples.html

#statstab #396 If researchers find Cohen’s d = 8, no they didn’t

Thoughts: Sometimes an effect is so impressive that its unbelievable.

#effectsize #cohend #QRPs #sesoi

https://mmmdata.io/posts/2025/07/if-researchers-find-cohens-d-8-no-they-didnt/

🚨New blog post 📝: Your Study Is Too Small (If You Care About Practically Significant Effects)

#effectsize #precision #poweranalysis #research #Psychology #MCID #SESOI #samplesize

https://open.substack.com/pub/mzloteanu/p/your-study-is-too-small-if-you-care?r=3b457w&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

#statstab #327 Effect Sizes for Equivalence Testing: Incorporating the Equivalence Interval

Thoughts: Not sure what value this approach has yet, but sharing for feedback.

#equivalencetests #sesoi #nhst #noeffect #nonsignificant #practicalsignificance

https://osf.io/preprints/psyarxiv/5buz9_v1

#statstab #286 Post-Hoc Power Sensitivity Analysis using the SESOI

Thoughts: Not a great title or great explanation of key concepts, but having R code outlined is useful.

#lmer #simulation #sample #power #SESOI #sensitivity #R

https://thechangelab.stanford.edu/tutorials/power-analysis/post-hoc-power-sensitivity-analysis-using-the-sesoi/