Support for beauty-status exchange remains illusory

Citation

McClintock, Elizabeth Aura (2017). Support for beauty-status exchange remains illusory. American Sociological Review. vol. 82 (5) pp. 1100-1110

Abstract

In my article, ?Beauty and Status: The Illusion of Exchange in Partner Selection?? (McClintock 2014), I used descriptive statistics, three forms of regression, and six measures of socioeconomic status to examine the ?trophy wife? stereotype that women ?exchange? their beauty for men?s status. According to the stereotype, such women would partner with comparatively less-attractive men who are comparatively high in socioeconomic status. I found little support for beauty-status exchange, and this limited support lacked robustness. Gullickson critiques my analysis on two grounds, arguing against the difference-based regression models, and proposing a new specification of interaction effects in the log-linear models. However, the difference models conceptualize exchange as defined in the relevant literature, and Gullickson?s modified difference models only replicate my conventional regression models, providing no new evidence for or against beauty-status exchange. Likewise, Gullickson?s proposed log-linear specifications are not only non-hierarchical, they also fail to improve model fit or to support exchange when using alternative measures of status. Indeed, Gullickson focuses on the only measure of status that yields any support for beauty-status exchange. Altogether, Gullickson?s case for beauty-status exchange overlooks the preponderance of contrary evidence and prioritizes statistical significance, attainable only under narrow model specifications, over robustness and model fit.

URL

https://doi.org/10.1177/0003122417725175

Keyword(s)

marriage

Reference Type

Journal Article

Journal Title

American Sociological Review

Author(s)

McClintock, Elizabeth Aura

Year Published

2017

Volume Number

82

Issue Number

5

Pages

1100-1110

Edition

August 22, 2017

DOI

10.1177/0003122417725175

Reference ID

7090