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Lynn, Richard; Irwing, Paul – Intelligence, 2008
Meta-analyses are presented of sex differences in (1) the (mental) arithmetic subtest of the Wechsler intelligence tests for children and adolescents (the WISC and WPPSI tests), showing that boys obtained a mean advantage of 0.11d; (2) the (mental) arithmetic subtest of the Wechsler intelligence tests for adults (the WAIS tests) showing a mean…
Descriptors: Intelligence, Intelligence Tests, Adolescents, Mental Computation
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Banks, George C.; Batchelor, John H.; McDaniel, Michael A. – Intelligence, 2010
Individual differences in general mental ability ("g") have important implications across multiple disciplines. Research suggests that the variance in "g" may be due to a general fitness factor. If this is the case, a relationship should exist between "g" and other reliable indicators of fitness. Some empirical results indicate a relationship…
Descriptors: Scientific Research, Intelligence, Meta Analysis, Sampling
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Dykiert, Dominika; Gale, Catharine R.; Deary, Ian J. – Intelligence, 2009
This study investigated the possibility that apparent sex differences in IQ are at least partly created by the degree of sample restriction from the baseline population. We used a nationally representative sample, the 1970 British Cohort Study. Sample sizes varied from 6518 to 11,389 between data-collection sweeps. Principal components analysis of…
Descriptors: Psychological Testing, Cognitive Tests, Intelligence Quotient, Factor Analysis
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Jensen, Arthur R. – Intelligence, 1990
The performance on a battery of cognitive tests of an individual with extraordinary ability at mental arithmetic was studied. Implications of the rather ordinary test performance of Shakuntala Devi in contrast with her calculating speed are discussed with reference to memory and information processing. (SLD)
Descriptors: Arithmetic, Case Studies, Cognitive Ability, Cognitive Processes
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Spilsbury, Georgina – Intelligence, 1992
The hypothesis that a task that increases in complexity (increasing its correlation with a central measure of intelligence) does so by increasing its dimensionality by tapping individual differences or another variable was supported by findings from 46 adults aged 20-70 years performing a mental counting task. (SLD)
Descriptors: Adults, Age Differences, Computation, Correlation