From 5a11ba4a85cc580986eaa5894e76834693fd8db2 Mon Sep 17 00:00:00 2001 From: "M. Taylor Saotome-Westlake" Date: Mon, 16 Sep 2019 20:08:17 -0700 Subject: [PATCH] add footnote crediting Tail for bugfix --- ...te-standardized-effect-sizes-of-cognitive-sex-differences.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/2019/does-general-intelligence-deflate-standardized-effect-sizes-of-cognitive-sex-differences.md b/content/2019/does-general-intelligence-deflate-standardized-effect-sizes-of-cognitive-sex-differences.md index 76f6fc1..2c5cd91 100644 --- a/content/2019/does-general-intelligence-deflate-standardized-effect-sizes-of-cognitive-sex-differences.md +++ b/content/2019/does-general-intelligence-deflate-standardized-effect-sizes-of-cognitive-sex-differences.md @@ -7,7 +7,7 @@ Marco del Guidice[ref]I was telling friend of the blog [Tailcalled](https://surv The effect size _d_ tries to quantify the difference between two distributions by reporting the difference between the distributions' means in _standardized_ units—units that have been scaled to take into account how "spread out" the data is. This gives us a common reference scale for _how big_ a given statistical difference is. Height is measured in meters, and "Agreeableness" in the [Big Five personality model](https://en.wikipedia.org/wiki/Big_Five_personality_traits) is an abstract construct that doesn't even have natural units, and yet there's still a meaningful sense in which we can say that the sex difference in height (_d_≈1.7) is "about three times larger" than the sex difference in Agreeableness (_d_≈0.5).[ref]Yanna J. Weisberg, Colin G. DeYoung, and Jacob B. Hirsh, ["Gender Differences in Personality across the Ten Aspects of the Big Five"](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3149680/), Table 2[/ref] -Cohen's _d_ is computed as the difference in group means, divided by the square root of the pooled variance. Thus, holding _actual_ sex differences constant, more measurement error means more variance, which means smaller values of _d_. Here's some toy Python code illustrating this effect: +Cohen's _d_ is computed as the difference in group means, divided by the square root of the pooled variance. Thus, holding _actual_ sex differences constant, more measurement error means more variance, which means smaller values of _d_. Here's some toy Python code illustrating this effect:[ref]Special thanks to Tailcalled for [catching a bug](http://unremediatedgender.space/source?p=Ultimately_Untrue_Thought.git;a=commitdiff;h=c5158d9a6feaa7ed5c770e6ace83d7e7ba2451e6) in the initially published version of this code.[/ref] ```python from math import sqrt -- 2.17.1