tag:blogger.com,1999:blog-14162253.post315733923309484567..comments2024-03-28T18:57:15.124-06:00Comments on Wash Park Prophet: Masculine v. Feminine Personality TraitsAndrew Oh-Willekehttp://www.blogger.com/profile/02537151821869153861noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-14162253.post-10002720316883873492012-01-05T08:44:24.921-07:002012-01-05T08:44:24.921-07:00You will never have an exactly identical distribut...You will never have an exactly identical distribution between genders even with random chance and the more sensitive your methodology is to small patterns the more there is a risk of noise looking like signal.<br /><br />Because there are more places that you can have a random deviation from a gender neutral distribution and the mulitvariate analysis amplifies that to some extent. If you are looking a fifteen numbers on a multivariate basis instead of five numbers one at a time, you expect fairly significant sampling error in at least some of those numbers, and where you have only one binary gender code to correlate it with, all instances of random noise are automatically correlated into two separate groups a false masculine signal and a false feminine signal.<br /> <br />The large sample size makes this less of a concern, but it doesn't eliminate the concern.Andrew Oh-Willekehttps://www.blogger.com/profile/02537151821869153861noreply@blogger.comtag:blogger.com,1999:blog-14162253.post-47305145566603423302012-01-05T07:25:05.115-07:002012-01-05T07:25:05.115-07:00While even random noise in data will necessarily h...<i>While even random noise in data will necessarily heighten gender differences when this kind of analysis is done,</i><br /><br />Why would it do that unless the noise is correlated with sex?Anonymousnoreply@blogger.com