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Brain size and cognitive ability: Correlations with age, sex, social class, and race

Overview of attention for article published in Psychonomic Bulletin & Review, March 1996
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Title
Brain size and cognitive ability: Correlations with age, sex, social class, and race
Published in
Psychonomic Bulletin & Review, March 1996
DOI 10.3758/bf03210739
Pubmed ID
Authors

J. Philippe Rushton, C. Davison Ankney

Abstract

Using data from magnetic resonance imaging (MRI), autopsy, endocranial measurements, and other techniques, we show that (1) brain size is correlated with cognitive ability about .44 using MRI; (2) brain size varies by age, sex, social class, and race; and (3) cognitive ability varies by age, sex, social class, and race. Brain size and cognitive ability show a curvilinear relation with age, increasing to young adulthood and then decreasing; increasing from women to men; increasing with socioeconomic status; and increasing from Africans to Europeans to Asians. Although only further research can determine if such correlations represent cause and effect, it is clear that the direction of the brain-size/cognitive-ability relationships described by Paul Broca (1824-1880), Francis Galton (1822-1911), and other nineteenth-century visionaries is true, and that the null hypothesis of no relation, strongly advocated over the last half century, is false.

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The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
United Kingdom 5 3%
Hong Kong 1 <1%
South Africa 1 <1%
Indonesia 1 <1%
Germany 1 <1%
Finland 1 <1%
Mexico 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 128 88%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 19%
Student > Ph. D. Student 27 18%
Student > Master 21 14%
Researcher 20 14%
Student > Doctoral Student 9 6%
Other 27 18%
Unknown 14 10%
Readers by discipline Count As %
Psychology 40 27%
Agricultural and Biological Sciences 21 14%
Medicine and Dentistry 17 12%
Social Sciences 11 8%
Engineering 7 5%
Other 30 21%
Unknown 20 14%