Highlights from the Comments on Survey Harassment Rates

Published: April 20, 2018, 8:45 a.m.

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[Content warning: harassment. This discusses the comments to\\xa0SSC Survey Results: Sexual Harassment Levels By Field]

brmic\\xa0writes:

Thank you for posting this and the data file. FWIW, I tried to reproduce the results and couldn\\u2019t reproduce the correlations between female victimization, male victimization and male perpetration. fem vic vs. male vic is 0.65, same as yours. fem vic vs. male perp is 0.01 for me, and male vic vs. male perp is 0.21 for me. Everything else more or less checks out.

As a reviewer, I\\u2019d say the combination score is not convincing, especially since it ignores all considerations of different male to female ratios in the various industries.
Also, if you have two measures with r = 0.8, Fig 6 is not a good idea IMHO. It\\u2019s probably just noise. (Also, it should be a dotplot centered around 1, because the relevant info is distance from 1:1 ratio.)
Instead, I\\u2019d focus on the correlation between female victimization at work and female victimization outside work of 0.65 (for me) and the same for males at 0.59, which also leads to the conclusion that there\\u2019s a strong \\u2018people in fields\\u2019 effect, without having to go through the combination score. If you\\u2019re so inclined, you might then do the at-work by outside-work ratios and end up a kind of cross-validation set, where you can see whether the bad fields for women are bad for men as well. Of course, once you then consider sex ratios per field. it\\u2019s story time all over again. Still, e.g. men report similar levels of out of work victimization in computers (20%) and Health Care (24%), but at work victimization of 4% and 12% respectively, which strongly suggests that Health Care is worse.

Their code is available\\xa0here. Thanks for doing the work to try to replicate my results. I\\u2019ve removed the non-confirmed correlations from my post until I can figure out what\\u2019s going on with them. I agree that Figure 6 was barely worth it, which is why I tried to make Figure 4 (the unadjusted version) the center of my thesis.

Chris\\xa0quotes\\xa0a TIME article\\xa0that argues that predominantly-male communities generally have lower harassment rates than predominantly-female communities:

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