From: M. Taylor Saotome-Westlake Date: Sat, 13 Mar 2021 19:22:02 +0000 (-0800) Subject: ... have I been misspelling his name this whole time?? X-Git-Url: http://534655.efjtl6rk.asia/source?a=commitdiff_plain;h=c9c04722aad975bd292dcdbb2b2aaa9d0a965412;p=Ultimately_Untrue_Thought.git ... have I been misspelling his name this whole time?? --- 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]