Dr Mircea Zloteanu ๐บ๐๐#statstab #502 Calculate between subjects Cohen's d from frequencies {effectsize}
Thoughts: May come in handy one day, but I'm dubious as to the inference here.
#frequency #cohend #effectsize #rstats #effectsize #shiny #r
#statstab #493 What denominator does the Cohen's d use on JASP??
Thoughts: A thread spanning years, where people figure out the many ways to compute Cohen's d. This stuff needs better labels.
#effectsize #cohend #design #japs #r
https://forum.cogsci.nl/discussion/3013/what-denominator-does-the-cohens-d-use-on-jasp
#statstab #488 Why Hedgesโ G*S Based On The Non-Pooled Standard Deviation Should Be Reported With Welchโs T-Test
Thoughts: If you use Welch's t, you must report Hedge's G_av. I think {effectsize} has it.
#statstab #479 Uncertainty limits the use of power analysis
Thoughts: Frequentists avoiding uncertainty is never good.
#poweranalysis #error #uncertainty #simulation #cohend #effectsize
https://www.researchgate.net/publication/361158443_Uncertainty_limits_the_use_of_power_analysis
#statstab #461 Interpreting Ordinal and Disordinal interactions
Thoughts: Interactions are not simple things. Their shape can determine many things (including sample size and effect size)
#design #ANOVA #interaction #effectsize #ordinal #crossover
https://www.jolley-mitchell.com/Appendix/WebAppOrdinalInteraction/WebAppOrdinalInteractions.htm
#statstab #444 {popower}: Power and Sample Size for Ordinal Response
Thoughts: Not the most intuitive but useful if you know the DGP will use ordinal data.
#statstab #425 Providing a Lower-Bound Estimate for Psychologyโs โCrud Factorโ
Thoughts: Psych research may not have the tools to investigate very small effects at all!
#crudfactor #research #psychology #mesurement #error #effectsize
#statstab #413 Counternull Sets in Randomized Experiments
Thoughts: The counternull is a lost statistic, that is woefully underused when teaching stats.
#counternull #nhst #pvalue #effectsize #teaching #randomization #rosenthal
https://www.tandfonline.com/doi/pdf/10.1080/00031305.2024.2432884?download=true
#statstab #398 Eta^2 for bayesian models {effectsize}
Thoughts: Great resource, but scroll to "Eta Squared from Posterior Predictive Distribution"
\(\eta^2\) and Other Effect Size for ANOVA โ eta_squared
Functions to compute effect size measures for ANOVAs, such as Eta- (\(\eta\)), Omega- (\(\omega\)) and Epsilon- (\(\epsilon\)) squared, and Cohen's f (or their partialled versions) for ANOVA tables. These indices represent an estimate of how much variance in the response variables is accounted for by the explanatory variable(s). When passing models, effect sizes are computed using the sums of squares obtained from anova(model) which might not always be appropriate. See details.
#statstab #396 If researchers find Cohenโs d = 8, no they didnโt
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/
