So if he surveyed 10 women and 10 men, those 10 women weren't married to those 10 men.
If that isn't the case, then I'm also not sure how that could be the case given that he states all marriages examined were heterosexual in nature.
"We excluded respondents who had a non-US IP address, reported having a same-sex marriage, reported an age at marriage of less than 13 years old, or were above age 60."
The paper used mTurk to get ~3000 responses to their survey. So it's basically saying "the men who answered these questions ended up having this score, the women who answered these questions ended up having a slightly different score"
EDIT: Link to paper, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2501480
"Samples of mTurk workers have been found to be more representative of the US population than in-person convenience samples, standard internet samples, and typical college samples"
I am somewhat sceptical of this, and there seems to be some evidence to back-up my scepticism [1][2][3]. In particular, [2] states:
"In sum, the MTurk sample is younger, more male, poorer, and more highly educated than Americans generally. This matches the image of who you might think would be online doing computer tasks for a small amount of money."
Which are some of the factors that the marriage study itself seeks to examine. This looks like lazy data collection methodology to me.
[1] http://www.culturalcognition.net/blog/2013/7/10/fooled-twice...
[2] http://themonkeycage.org/2012/12/19/how-representative-are-a...
[3] http://www.behind-the-enemy-lines.com/2010/03/new-demographi...
Essentially it's just a more representative sample than these other horribly unrepresentative samples he's listing.
Nevertheless, it would have useful if the nature of the data was better described in the article itself. I run a comment blocker in Chrome so I didn't see the comments until you mentioned them.
For heterosexual marriages, wouldn't the percentages be the same? If a given number of divorces will always produce a equal number of male and female divorcees.
Or is the author saying that the direction of difference is important? Eg, a woman is more likely to divorce her husband if she is more highly educated than him, but not vice versa.
Is there some missing information here, or am I being dense?