Dr Mircea Zloteanu 🌺🌞🍃#statstab #512 Standardised mean difference estimators {shinyapp}
Thoughts: Calculating the correct SMD can be challenging, and most software are quite bad at it. Use this shiny app instead!
Jan R. BoehnkeAnother #PeerReview done.
Manuscript c3,000 words
Review c2,300 words
3.25hrs
I do love Null results.*
Nevertheless, a good theoretical background is important (and ideally written down before the results are known).
It should be clear what an effect could look like.
#EffectSize #SampleSize
Superiority is different to non-inferiority.
#RCT
#PreRegistration #RegisteredReport
* ad libbing on Julia Rohrer's post here:
https://www.the100.ci/2017/06/01/why-we-should-love-null-results/
Why we should love null results
or Dear Sanjay TL;DR: Publication bias is a bitch, but poor hypothesising may be worse. Estimated reading time: 10 minutes A few weeks ago I was listening to episode 5 of the Black Goat, flowery thoughts on my mind, when suddenly I heard Sanjay Srivastava say the following words (from minu
#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 Hedges’ G*S Based On The Non-Pooled Standard Deviation Should Be Reported With Welch’s 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 Psychology’s “Crud Factor”
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