Sex Differences in Variability in General Intelligence: A New Look at the Old Question
Wendy Johnson1, Andrew Carothers2, Ian J Deary3
1MRC Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, United Kingdom Department of Psychology, University of Minnesota-Twin Cities wendy.johnson@ed.ac.uk.
Males exhibit greater variability in general intelligence than females, particularly at the lower end of the distribution. This finding challenges assumptions about intelligence distribution and sex differences in cognitive abilities.
Area of Science:
- Psychology
- Human Genetics
- Educational Psychology
Background:
- Historically, general intelligence is hypothesized to be more variable in males than females.
- This hypothesis suggests males are overrepresented at the extreme ends of the intelligence distribution.
- Empirical analysis of large, representative samples is needed to clarify these sex differences in intelligence variability.
Purpose of the Study:
- To investigate sex differences in the distribution of general intelligence.
- To examine variability in general intelligence across different ranges of the distribution.
- To test a mixture model explaining population intelligence distribution.
Main Methods:
- Analysis of two population-wide general intelligence surveys of 11-year-olds in Scotland.
- Examination of the normality and variability of intelligence score distributions.
- Comparison of male and female intelligence variability, especially at higher score ranges.
Main Results:
- Intelligence distributions showed significant departures from normality, with lower variability at the higher end.
- Modal IQ scores were approximately 105, despite a mean IQ of 100.
- Males demonstrated greater variability than females, even above the modal score level.
Conclusions:
- The population distribution of general intelligence may be a mixture of two normal distributions.
- One distribution represents typical intelligence variation, the other reflects conditions associated with mental retardation.
- Observed sex differences in variability at the high end did not explain differences in high-level achievement.
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