3 ms·
This is a really, really bad article, the author clearly didn't bother to read the study. I just skimmed it, 64 pages is a bit much right now, but from first l
by a_bonobo 13y ago
This is a really, really bad article, the author clearly didn't bother to read the study.
I just skimmed it, 64 pages is a bit much right now, but from first look:
First of all, the study [1] just checked graduates one year after graduation - i.e., absolute entry-level. This may say some things but doesn't say anything about female computer scientists in general.
Second of all, the study checked many, many differences in pay - some of which are statistically significant, some are not. The author of OP's article just listed one of these comparisons. To quote from the text:
>All gender differences reported in the text and shown in the figures are statistically significant (p < 0.05, two-tailed t-test) unless otherwise indicated
Moneyquote:
>Women working full time
earned $35,296 on average, while men working
full time earned $42,918
and
>In fact, the
pay gap exists within nearly every category of
institution and level of selectivity. Among public
and private college graduates, women earned
81 percent and 86 percent, respectively, of what
men earned one year after graduation. Women
who graduated from public universities earned
86 percent of what their male peers earned. The
pay gap was largest among graduates of private
universities, where women earned just 75 percent
of what men earned
And yes, that's a statistically significant difference. It's the very first two figures. (Edit: And depending at which paygroup you look, OP's 6.6% is really low - it goes up to 25% difference!)
tl;dr: There is a pay gap and it's statistically significant.
[1] http://www.aauw.org/files/2013/02/graduating-to-a-pay-gap-the-earnings-of-women-and-men-one-year-after-college-graduation.pdf http://www.aauw.org/files/2013/02/graduating-to-a-pay-gap-th...
Edit: The only thing I can find that is not statistically significant is the pooled pay for women in "Biological, physicial sciences, science technology, mathematics and agricultural sciences" and "Business" - i.e., something different than what OP claims, especially since the average of these jobs is likely to be different from the average of each job itself.
Edit2: I finally found OP's 6.6% pay difference, which is a complete misunderstanding of the article they copied from here [2].
>According to the study, there are seven professions with pay equity. When controlled for all factors other than gender, the earnings difference between men and women is about 6.6%, something most people don’t know.
So the 6.6% are not the pay gap in computer science, but the pay gap for _all_ jobs clustered together! Then it's no wonder that the 6.6% are not statistically significant, several different populations with different means are merged, and since t-tests compare the means, you get no significance.
[2] http://qz.com/182977/there-is-no-gender-gap-in-tech-salaries/ http://qz.com/182977/there-is-no-gender-gap-in-tech-salaries...
- doorhammer 13y agoThanks for linking the study. I find these articles interesting, but I always end up skipping them, instead of looking for the core data. For some reason my brain is too lazy to skim the two page article to find the source, but is interested enough to skim and potentially read the 40 page source when found directly.
- jfim 13y agoThey don't take height into account, for example, which has been shown to have an influence on wages [1]. They also cluster region in broad regions (page 37), even though there is a large variation in wages within the same region. Also, note the funding source for this study. [1] http://www.apa.org/monitor/julaug04/standing.aspx http://www.apa.org/monitor/julaug04/standing.aspx