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Are Human Mating Preferences with Respect to Height Reflected in Actual Pairings?

Overview of attention for article published in PLOS ONE, January 2013
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Title
Are Human Mating Preferences with Respect to Height Reflected in Actual Pairings?
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054186
Pubmed ID
Authors

Gert Stulp, Abraham P. Buunk, Thomas V. Pollet, Daniel Nettle, Simon Verhulst

Abstract

Pair formation, acquiring a mate to form a reproductive unit, is a complex process. Mating preferences are a step in this process. However, due to constraining factors such as availability of mates, rival competition, and mutual mate choice, preferred characteristics may not be realised in the actual partner. People value height in their partner and we investigated to what extent preferences for height are realised in actual couples. We used data from the Millennium Cohort Study (UK) and compared the distribution of height difference in actual couples to simulations of random mating to test how established mate preferences map on to actual mating patterns. In line with mate preferences, we found evidence for: (i) assortative mating (r = .18), (ii) the male-taller norm, and, for the first time, (iii) for the male-not-too-tall norm. Couples where the male partner was shorter, or over 25 cm taller than the female partner, occurred at lower frequency in actual couples than expected by chance, but the magnitude of these effects was modest. We also investigated another preference rule, namely that short women (and tall men) prefer large height differences with their partner, whereas tall women (and short men) prefer small height differences. These patterns were also observed in our population, although the strengths of these associations were weaker than previously reported strength of preferences. We conclude that while preferences for partner height generally translate into actual pairing, they do so only modestly.

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Geographical breakdown

Country Count As %
Netherlands 3 4%
Switzerland 2 2%
Austria 1 1%
Brazil 1 1%
Czechia 1 1%
Romania 1 1%
Luxembourg 1 1%
Unknown 75 88%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 16%
Researcher 13 15%
Student > Ph. D. Student 12 14%
Student > Master 10 12%
Professor > Associate Professor 9 11%
Other 20 24%
Unknown 7 8%
Readers by discipline Count As %
Psychology 25 29%
Agricultural and Biological Sciences 17 20%
Medicine and Dentistry 5 6%
Biochemistry, Genetics and Molecular Biology 4 5%
Social Sciences 4 5%
Other 18 21%
Unknown 12 14%