#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

errors.shinyapps.io/cohens-d-fro...

#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

forum.cogsci.nl/discussion/3...

#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.

#effectsize #rstats #heterogeneity

doi.org/10.31234/osf...

Published in Archives of PM&R:
Guidelines on effect size and sample size for global pain research.

Full article: www.archives-pmr.org/article/S0003-9993(26)00...

#ArchivesPMR #PainResearch #RehabilitationResearch #ClinicalResearch #EffectSize #ResearchMethods #ACRM

Published in Archives of PM&R:
Guidelines on effect size and sample size for global pain research.

Full article: www.archives-pmr.org/article/S0003-9993(26)00...

#ArchivesPMR #PainResearch #RehabilitationResearch #ClinicalResearch #EffectSize #ResearchMethods #ACRM

#FactCheck Friday! P values depend on the effect size, not the sample size. FALSE! They depend on both, and it's not unusual for studies with large sample sizes to yield small #Pvalues even when the #EffectSize is so small it's clinically irrelevant. institutionalrepository.aah.org/jpcrr/vol10/...

(PDF) Uncertainty Limits the Use of Power Analysis PDF | The calculation of statistical power has been taken up as a simple yet informative tool to assist in designing an experiment, particularly in... | Find, read and cite all the research you need o...

#statstab #479 Uncertainty limits the use of power analysis

Thoughts: Frequentists avoiding uncertainty is never good.

#poweranalysis #error #uncertainty #simulation #cohend #effectsize

www.researchgate.net/publication/...

#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

www.jolley-mitchell.com/Appendix/Web...

#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.

#ordinal #poweranalysis #power #effectsize #rstats #stats

rdrr.io/cran/Hmisc/m...

Scientist tries to convince the program officer that their sample size is adequate to answer the research questions.

Would you gamble $500k on a coin toss? #statssky #samplesize #effectsize #clinicaltrialsWould

#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

gwern.net/doc/psycholo...

#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

www.tandfonline.com/doi/pdf/10.1...

Coming soon! Statistics and Data Handling for Biologists by Neil Millar 📖

Learn more and preorder your copy ➡️ https://tinyurl.com/mrxx6vbw

#biology #statistics #statisticssoftware #excel #jamovi #effectsize #poweranalysis

#statstab #398 Eta^2 for bayesian models {effectsize}

Thoughts: Great resource, but scroll to "Eta Squared from Posterior Predictive Distribution"

#effectsize #eta2 #bayesian #brms #r

easystats.github.io/effectsize/r...

#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

mmmdata.io/posts/2025/0...

Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements – Statistical Thinking Researchers have used contorted, inefficient, and arbitrary analyses to demonstrated added value in biomarkers, genes, and new lab measurements. Traditional statistical measures have always been up to...

#statstab #393 Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements [actual post]

Thoughts: #392 has the comments, but this is where the magic happens.

#modelselection #modelcomparison #variance #effectsize #tutorial

www.fharrell.com/post/addvalue/

#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

sites.stat.columbia.edu/gelman/resea...

#FactCheck Friday! P values depend on the effect size, not the sample size. FALSE! They depend on both, and it's not unusual for studies with large sample sizes to yield small #Pvalues even when the #EffectSize is so small it's clinically irrelevant. institutionalrepository.aah.org/jpcrr/vol10/...

#statstab #356 Measures of Heterogeneity

Thoughts: An overview of different measures, I^2, Q, H^2, and associated R code.

#metaanalysis #heterogeneity #effectsize #effectsize #variability #error

bookdown.org/MathiasHarre...

Your Study Is Too Small (If You Care About Practically Significant Effects) Power ≠ Precision, the misguided comfort of 80% power

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

#effectsize #precision #poweranalysis #research #Psychology #MCID

open.substack.com/pub/mzlotean...

The Abuse of Power It is well known that statistical power calculations can be valuable in planning an experiment. There is also a large literature advocating that power calculations be made whenever one performs a s...

#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

www.tandfonline.com/doi/abs/10.1...

A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared - J. Toby Mordkoff, 2019 Accurate estimates of population effect size are critical to empirical science, for both reporting experimental results and conducting a priori power analyses. ...

#statstab #347 A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared

Thoughts: Its epsilon^2, but easier to compute by hand.

#effectsize #ANOVA #eta2 #epislon2

journals.sagepub.com/doi/10.1177/...

How is your building using Hattie's research to drive best practices? This studies and their influences are eye opening for pedagogical decisions. We as instructional leaders should support the best practices.

www.visiblelearningmetax.com

#hattie #effectsize #teacherPD #visiblelearning

ICPSR Summer Program Workshop Announcement: Hybrid! Systematic Review and Meta-Analysis, June 11-13.

Get hands-on exposure to quantitative meta-analysis: data preparation, effect size selection and calculation, selection of appropriate statistical techniques, and the interpretation and reporting of results. For more details, see link in bio.

#SumProg25 #ICPSR #QuantitativeResearch #EffectSize

THE FALLACY OF EMPLOYING STANDARDIZED REGRESSION COEFFICIENTS AND CORRELATIONS AS MEASURES OF EFFECT SANDER GREENLAND, JAMES J. SCHLESSELMAN, MICHAEL H. CRIQUI; THE FALLACY OF EMPLOYING STANDARDIZED REGRESSION COEFFICIENTS AND CORRELATIONS AS MEASURES OF E

#statstab #305 The Fallacy of Employing Standardized Regression Coefficients and Correlations ad Measures of Effect

Thoughts: Everyone loves effect sizes, but mind how you compute and interpret them.

#regression #effectsize #correlation #fallacy

doi.org/10.1093/oxfo...

#statstab #294 So You Think You Can Graph - effectiveness of presenting the magnitude of an effect

Thoughts: Competition in the many ways to display effect magnitude. Some cool ideas.

#dataviz #stats #effectsize #effects #plots #figures #cohend

amplab.colostate.edu/SYTYCG_S1/SY...

Metacognitive Reflection: Encourage students to reflect on their problem-solving strategies. Ask them to explain why they chose a particular method and how it works. #dmtinstitute #mathsuccess #hattie #effectsize

Where is the Math Monday Hattie's Clear Expectations

I can represent multiplication using bar models, ratio tables, and equations and explain how it represents iterations of a unit #hattie #effectsize #mathsuccess #dmtinstitute

#statstab #281 Correcting Cohen’s d for Measurement Error (A Method!)

Thoughts: Scale reliability can be incorporated into effect size computation (i.e., remove attenuation)

#measurementerror #effectsize #cohend #reliability #scales

rpubs.com/JLLJ/RPBD

Effect size converter Effect size converter/calculator to convert between common effect sizes used in research.

An even better solution would be a table where you could select which type of effect #effectSize measure to show (calculated using e.g. these calculations https://www.escal.site/ If anyone has the skills to implement that in #wikipedia #markup, please do so!