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Having interactions like these 12 times in a row might not be your cup of tea, but it’s a relatively ordinary getting-acquainted interaction. The dependent variable (i.e., the participant’s evaluation of the partner) is not “get” but rather “like” or “desire” or “love.” If you say you “want” a trait in a partner, do you like or desire partners more to the extent that they have that trait?So a proper adaptation of the song title for the current framework would be “you can’t always desire what you want”.I might like one mate because he is attractive but another mate because he is intelligent.So of course the level metric approach can’t work, because it focuses on only one trait at a time.Past research has shown sex differences in ideal partner preferences: For instance, men say they care more about attractiveness in a partner than do women, suggesting that attractiveness will “fit” men’s ideals more than women’s ideals, on average.But does partner attractiveness actually predict romantic evaluations more strongly for men than for women?That is, ideal × trait interactions do not reliably predict romantic evaluations.This means that, if I say I really care about extraversion in a partner and you say you do not, extraversion tends to predict evaluations of romantic partners about the same for both of us.
That is, does the extent of matching between (A) the participant’s ideals (e.g., desiring extraversion in a partner) and (B) the partner’s traits (e.g., the partner’s level of extraversion) predict (C) the participant’s evaluation of the partner (e.g., how much the participant loves the partner)?
Our meta-analysis did not include these sorts of studies.
We suspect that sex differences do emerge in these contexts, although there have been no large scale meta-analyses of this topic that have accounted for publication bias.
Note: Below are some responses to frequently asked questions that have been posed to us by students, reviewers, and interested scholars.
Of course, our responses reflect our views on the state of the field at this moment in time; they will be updated as new data become available.