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All of the differences highlighted are statistically significant (p < 0.05) in the multivariate model. So there's that. :-) The downside is that the paper only
by rhiever 12y ago
All of the differences highlighted are statistically significant (p < 0.05) in the multivariate model. So there's that. :-)
The downside is that the paper only presents probabilities relative to a reference point, but doesn't give raw probabilities.
- Steuard 12y agoEven, say, the difference between "never attend church" and "sometimes attend church" (which evidently makes divorce 10% more likely)? Or how about the difference between household incomes of $85k and $110k (bars differ by 3% out of about 40%)? But I'm glad to know that these are all results with low p-values, anyway: that adds some real confidence to these results. (Though I ought to ask: how many of these significant p-values were between, say, 0.03 and 0.05? How many different correlations were originally considered in the study before they identified these significant ones?)
- rhiever 12y agoCheck out the paper (Table 3) for significance statements: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2501480 http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2501480 Some of the trends in Part 1 are not statistically significant (e.g., "never attend church" vs. "sometimes attend church"), but I presented them regardless because they have a pretty clear trend. I believe p-values are only presented in comparison to the reference point.
- Steuard 12y agoOh, man, I knew I was cruising for a "it's right there in the paper" response. Well-deserved, I'll admit it: I'm being lazy. But then, that's why I like error bars on my graphs. Thanks for the nicely presented data, regardless!