X-Git-Url: http://unremediatedgender.space/source?p=Ultimately_Untrue_Thought.git;a=blobdiff_plain;f=content%2F2019%2Fdoes-general-intelligence-deflate-standardized-effect-sizes-of-cognitive-sex-differences.md;h=5f2981c76785e84b4aab36a69043be48f25b4002;hp=81b77697dcd6103d96361e646b8b716f32c047a8;hb=c9c04722aad975bd292dcdbb2b2aaa9d0a965412;hpb=47502e21805a382f0d8eddb3a22e54d1dba15946

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 81b7769..5f2981c 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
@@ -3,7 +3,7 @@ Date: 2019-09-01 22:50
 Category: commentary
 Tags: statistics, Python, sex differences
 
-Marco del Guidice[ref]I was telling friend of the blog [Tailcalled](https://surveyanon.wordpress.com/) the other week that we really need to start a Marco del Guidice Fan Club![/ref] points out[ref]Marco del Guidice, ["Measuring Sex Differences and Similarities"](https://marcodgdotnet.files.wordpress.com/2019/04/delgiudice_measuring_sex-differences-similarities_pre.pdf), §2.3.3, "Measurement Error and Other Artifacts"[/ref] that in the presence of measurement error, standardized effect size measures like [Cohen's _d_](https://rpsychologist.com/d3/cohend/) will underestimate the "true" effect size.
+Marco del Giudice[ref]I was telling friend of the blog [Tailcalled](https://surveyanon.wordpress.com/) the other week that we really need to start a Marco del Guidice Fan Club![/ref] points out[ref]Marco del Giudice, ["Measuring Sex Differences and Similarities"](https://marcodgdotnet.files.wordpress.com/2019/04/delgiudice_measuring_sex-differences-similarities_pre.pdf), §2.3.3, "Measurement Error and Other Artifacts"[/ref] that in the presence of measurement error, standardized effect size measures like [Cohen's _d_](https://rpsychologist.com/d3/cohend/) will underestimate the "true" effect size.
 
 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]