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As rich as their data sets are, the uncertainty of that first meeting remains. Correction April 10 6: The crucial term is the product term: I looked at the signs of all the product terms, as well as how statistically significant they were, and could not find any interesting cases where opposites attracted after using the Bonferroni correction for the number of traits examined.
I experimented with a few different models to ensure my basic conclusions stayed the same. I tried looking at each trait individually but controlling for obvious factors by which people choose to message mates в attractiveness, age and whether the person messaged them.
I tried making the continuous variables binary by whether they were above average. Finally, because many of these variables are correlated, I ran a giant regression including the value of every trait along with interactions simultaneously.
None of these mathematical modifications persuaded opposites to get together, and the last one containing variables and 1 million couples crashed my computer. I reran that regression usingcouples.