This is awesome. It's great to see data and analysis sharing catching on in science. I might go play with their data for fun. #overlyhonestresearchmethods Update: downloaded their data and did a bit of plotting. This is absolutely fascinating. The difference in negative comments toward women is really stark when you do a median split by skill level (as measured by their "MaxSkillLevel" variable). Here is the figure for both experimenter types. When the experimenter is male, there is no difference in negative comments by commenter skill level. But when the experimenter is female, low-skilled males make more negative comments than high-skilled males: This next bit is particularly interesting. Here, I have the skill level of the person making the comment marked by color, and have experimenter skill level divided in the two columns. Here we can see that the effect is mainly driven by experimenter skill; when a female experimenter is highly skilled, low-skilled males make more negative comments. Fascinating!Data are available as supplementary information (S1 Dataset) and the data and R script are on Github (https://github.com/latrodektus/VG_Sexism).
We stopped at 163 as this is a substantial time effort.
