#statstab #442 Understanding uncertainty in school league tables
Thoughts: Rankings are virtually meaningless, especially neighbour values.
#ranking #comparison #uncertainty #QRPs #education #academia
https://research-information.bris.ac.uk/ws/portalfiles/portal/40324984/leckie2011fs.pdf
#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/
#statstab #381 In psychology everything mediates everything
Thoughts: Another great explanation of the pitfalls of mediation analysis. Mediation is not a simple procedure and require strong theory.
#mediation #QRPs #correlation #regression #PROCESS
https://steamtraen.blogspot.com/2020/04/in-psychology-everything-mediates.html?m=1
#statstab #369 Don't Trust Internal Meta-Analysis
Thoughts: I don't agree with all the assumptions, but interesting to know how bad these can be.
#metaanalysis #QRPs #minimeta #datacolada #falsepositive #replication
Researchers have increasingly been using internal meta-analysis to summarize the evidence from multiple studies within the same paper. Much of the time, this involves computing the average effect size across the studies, and assessing whether that effect size is significantly different from zero. At first glance, internal meta-analysis seems like a wonderful idea. It increases...
#statstab #366 Type M error might explain Weisburd’s Paradox
Thoughts: Learn about type M error while you learn about the issues in criminology!
#replication #typeM #typeS #QRPs #paradox #power #effectsize #errorrate
https://sites.stat.columbia.edu/gelman/research/published/weisburd_28.05.2017.pdf
#statstab #358 What are some of the problems with stepwise regression?
Thoughts: Model selection is not an easy task, but maybe don't naively try step wise reg.
#stepwise #regression #QRPs #issues #phacking #modelselection #bias
https://www.stata.com/support/faqs/statistics/stepwise-regression-problems/
#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 #344 Questionable Research Practices when Using Confirmatory Factor Analysis
Thoughts: CFAs might be better than EFAs, but they are still complicated and easy to abuse.
#factoranalysis #CFA #QRPs #fitindex #guide
https://dr.lib.iastate.edu/bitstreams/4efe4918-7cad-4db1-b3cc-44825cbb6e08/download
Dr Mircea Zloteanu ❄️☃️🎄