A widely reported finding that the risk of divorce increases when wives fall ill — but not when men do — is invalid, thanks to a short string of mistaken coding that negates the original conclusions, published in the March issue of the Journal of Health and Social Behavior.
The paper, “In Sickness and in Health? Physical Illness as a Risk Factor for Marital Dissolution in Later Life,” garnered coverage in many news outlets, including The Washington Post, New York magazine’s The Science of Us blog, The Huffington Post, and the UK’s Daily Mail .
But an error in a single line of the coding that analyzed the data means the conclusions in the paper — and all the news stories about those conclusions — are “more nuanced,” according to first author Amelia Karraker, an assistant professor at Iowa State University.
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Note that the retraction happened in 2015. I had heard of the original study but not the retraction. (I expect that I would have heard of neither the study nor the retraction if the study wasn’t about a politically charged topic).
At least it was a stupid mistake rather than poor study design.
This on the other hand… I haven’t read the corrected study but I suspect this does not account for the fact that four different classes of illness were looked at, both because that’s a common mistake and because it makes no sense to me that men would divorce women with heart disease but not with cancer, stroke, or lung disease.
(The probability that at least one study out of four would have significance > 95% simply by chance is 1 - 0.95^4 = 0.18549375.)
Edit: Now I’m scared that I didn’t do the math correctly. That tends to happen when I try to be pedantic. Also there were eight categories, not four. (They also looked at women divorcing men.)
In theory for multiple comparisons they “share” a value of P such that a significant result adjusted for four comparisons is evaluated against a P-value of (0.05/4) = 0.0125. This correction (called the Bonferroni correction) is the most restrictive method used for controlling family-wise error rate. Most researchers would adjust P using a less restrictive method, which is not necessarily wrong to do. https://en.m.wikipedia.org/wiki/Multiple_comparisons_problem
Otherwise I agree with your logic
Thank you for reminding me.
And one that kind of makes sense how it’d happen, too.
“We don’t have any more data on these couples after a few sessions. What does that mean?”
“Oh, well we don’t follow up with divorced couples, so we wouldn’t have more data after the divorce date. Tag them as divorced.”
Disclaimer: Hypothetical scenario I’ve imagined to explain the error. Not based in reality.
Interesting. The corrected data still leans in that direction.
Anecdotally, a friend of mine worked a few years helping people after traumatic brain injuries. She noticed the women always had a husband to help with their care, but all the men were devorced and alone.
Your anecdotal experience doesn’t take into account weather the patients were divorced following the injury or if they were unmarried before the injury to begin with.
The study was looking into something totaly different.
The study is also looking at a complex thing like interpersonal relationships. Some people who are sick or have issues blame the people helping them. My wife gets upset I do not care enough about her issues when I am working on work, and our finances, and all our other stuff that have to be in line so that she can get the best care we can. She likes to bring up divorce even though she would be utterly fucked in that scenario. If she were married to another type of man she would be one of these statistics. Im not saying that is the only reason as I have seen sickly men act like this to.
That’s an interesting observation, it’d be interesting to see what could be the reason why that pattern might hold in a proper survey. But it could just be chance that it was that way at that particular facility.
Oh… I thought divorce rates increased when wives fell ill or when they got attacked with an ax. Which honestly feels like a good reason for divorce.
back in my days women knew their place, which is in the shower with a murderer slowly pulling back the drapes while raising their weapon dramatically
I wonder if some of that nuance is medical debt. If you divorce before the bills come in, can you get away with only the ill person getting the debt? If it’s terminal, do you have a way to deny debt collectors by saying you’re divorced?
Of course, the gender angle still suggests otherwise, but I imagine that’s mostly a breadwinner/power dynamic that hopefully is changing with more women in the workforce.
I’ve heard of people getting divorced with terminal conditions because they don’t want to leave their partner with hundreds of thousands of dollars of medical debt.
I wonder if that plays any part in it.
That wouldn’t explain gender differences.