#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!

#cohend #SMD #hedgesg #heterogeneity #effectsize

https://effectsize.shinyapps.io/deffsize/

#statstab #490 Effect size for difference between variances / Levene's test

Thoughts: Always found it odd that we ignore heterogeneity for inference. We treat it like a "error".

#heterogeneity #welch #levene #variance #cvr #standarddeviation

https://stats.stackexchange.com/questions/173880/effect-size-for-difference-between-variances-levenes-test

Effect size for difference between variances / Levene's test

I have tested a hypothesis of equal variances (using Levene's test), and would like to report an effect size alongside the significance test. Unfortunately, I cannot seem to find any references to ...

Cross Validated

#statstab #489 On the performance of the Neyman Allocation with small pilots

Thoughts: If you know your treatment condition will have larger variance you can optimise your sample size.

#nhst #samplesize #neynan #heterogeneity #welch #variance #pilot #se

https://www.sciencedirect.com/science/article/pii/S0304407624001398

#statstab #488 Why Hedgesโ€™ G*S Based On The Non-Pooled Standard Deviation Should Be Reported With Welchโ€™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

https://doi.org/10.31234/osf.io/tu6mp

OSF

A quotation from Thoreau

If a man does not keep pace with his companions, perhaps it is because he hears a different drummer. Let him step to the music which he hears, however measured or far away.

Henry David Thoreau (1817-1862) American philosopher and writer
Walden; or, Life in the Woods, ch. 18 โ€œConclusionโ€ (1854)

More about this quote: wist.info/thoreau-henry-david/โ€ฆ

#quote #quotes #quotation #qotd #thoreau #henrydavidthoreau #differentdrummer #dissident #eccentricity #heterogeneity #independence #individualism #individuality #inspiration #meme #nonconformist #pace #selfdirection #tempo #time #unconventionality #uniqueness #difference

Showing something is NOT the case is much harder than showing it is, but Nishant painstakingly went through every possible analysis loophole to show this. Well done Nishant! For everyone interested in #clustering, #heterogeneity, #classification and #modelling!

#statstab #474 Linear Models with Heterogeneous Coefficients

Thoughts: Sometimes you need more complicated models even if identification gets messy.

#heterogeneity #modelling #nonlinear #economics #econometrics

https://vladislav-morozov.github.io/econometrics-heterogeneity/linear/linear-introduction.html

2  Intro: Linear Models with Heterogeneous Coefficients โ€“ Econometrics with Unobserved Heterogeneity

Explore linear models with heterogeneous coefficients, identification challenges, and econometric estimation techniques in this advanced lecture series.

Econometrics with Unobserved Heterogeneity

#statstab #452 Assumption Checking Prevents Assumption Hacking in Multiverse Meta-Analyses

Thoughts: Heterogeneity, publication bias, multiverse analysis, z-curve and more.

#zcurve #multiverse #heterogeneity #metaanalysis #bias #publicationbias

https://replicationindex.com/2025/06/13/assumption-checking-prevents-assumption-hacking-in-multiverse-meta-analyses

Assumption Checking Prevents Assumption Hacking in Multiverse Meta-Analyses - Replicability-Index

In a nutshell Statistical methods for meta-analyses make different assumptions. For this reason, different methods can produce different results with the same data. Meta-analysts often struggle to make sense of these inconsistent results. A simple solution to this problem is to test testable assumptions. Key assumptions that influence results are publication bias and heterogeneity of

Replicability-Index - Improving the replicability of empirical research

#statstab #448 {metaforest} Small sample meta-analysis

Thoughts: "a machine-learning based, exploratory approach to identify relevant moderators in meta-analysis"

#ML #MachineLearning #metaanalysis #smallsample #samplesize #heterogeneity #moderator

https://cjvanlissa.github.io/metaforest/articles/Introduction_to_metaforest.html

Introduction to metaforest

#statstab #448 {metaforest} Small sample meta-analysis

Thoughts: "a machine-learning based, exploratory approach to identify relevant moderators in meta-analysis"

#ML #MachineLearning #metaanalysis #smallsample #samplesize #heterogeneity #moderator

https://cjvanlissa.github.io/metaforest/articles/Introduction_to_metaforest.html

Introduction to metaforest