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Arendasy, Martin E.; Sommer, Markus – Intelligence, 2010
In complex three-dimensional mental rotation tasks males have been reported to score up to one standard deviation higher than females. However, this effect size estimate could be compromised by the presence of gender bias at the item level, which calls the validity of purely quantitative performance comparisons into question. We hypothesized that…
Descriptors: Effect Size, Psychometrics, Gender Differences, Gender Bias
Schmithorst, Vincent J. – Intelligence, 2009
Recent neuroimaging research has shown sex-related differences in the relationship between brain structure and cognitive function. Anatomical studies have shown a greater reliance for cognitive function on white matter structure in adult females, and a greater reliance on gray matter structure in adult males. Functional neuroimaging studies have…
Descriptors: Intelligence, Intelligence Quotient, Neurology, Brain
Tang, C. Y.; Eaves, E. L.; Ng, J. C.; Carpenter, D. M.; Mai, X.; Schroeder, D. H.; Condon, C. A.; Colom, R.; Haier, R. J. – Intelligence, 2010
Neuro-imaging studies of intelligence implicate the importance of a parietal-frontal network. One unresolved issue is whether this network underlies a general factor of intelligence ("g") or other specific cognitive factors. A second unresolved issue is whether males and females use different parts of this network. Here we obtained intelligence…
Descriptors: Intelligence, Females, Integrity, Young Adults
Delgado, Ana R.; Prieto, Gerardo – Intelligence, 2008
Stereotype threat has been invoked to explain underperformance on a variety of groups for whom the stereotypes allege inferior cognitive abilities. In math testing, stereotype threat has been used to explain sex differences in test performance. This paper describes an experimental study on a large sample (n = 313), in which the role of anxiety and…
Descriptors: Stereotypes, Construct Validity, Anxiety, Cognitive Ability
Geiser, Christian; Lehmann, Wolfgang; Eid, Michael – Intelligence, 2008
A large number of studies have reported average performance differences in favor of males in mental rotation tasks. However, it is still unclear to what extent the magnitude of the sex differences varies across age, and whether the differences increase with age. In this study, we reanalyzed data from a cross-sectional investigation of N = 1624…
Descriptors: Gender Differences, Males, Intelligence, Age Differences
Vigneau, Francois; Bors, Douglas A. – Intelligence, 2008
Various taxonomies of Raven's Advanced Progressive Matrices (APM) items have been proposed in the literature to account for performance on the test. In the present article, three such taxonomies based on information processing, namely Carpenter, Just and Shell's [Carpenter, P.A., Just, M.A., & Shell, P., (1990). What one intelligence test…
Descriptors: Intelligence, Intelligence Tests, Factor Analysis, Classification
Keith, Timothy Z.; Reynolds, Matthew R.; Patel, Puja G.; Ridley, Kristen P. – Intelligence, 2008
Sex differences in the latent general and broad cognitive abilities underlying the Woodcock-Johnson Tests of Cognitive Abilities were investigated for children, youth, and adults ages 6 through 59. A developmental, multiple indicator-multiple cause, structural equation model was used to investigate sex differences in latent cognitive abilities as…
Descriptors: Females, Males, Cognitive Ability, Structural Equation Models
Colom, Roberto; Abad, Francisco J. – Intelligence, 2007
Mackintosh and Bennett's [Mackintosh, N. J. and Bennett, E. S, (2005). ''What do Raven's Matrices measure? An analysis in terms of sex differences.'' Intelligence 33: 663-674.] study shows that males outperform females in some APM items but not in others, implicating that these items are measuring discriminable mental processes. The present…
Descriptors: Test Bias, Gender Differences, Cognitive Processes, Measures (Individuals)
Camarata, Stephen; Woodcock, Richard – Intelligence, 2006
The purpose of this study was to compare the cognitive abilities and selected achievement performance of females and males across the lifespan on standardization samples of broad cognitive abilities in 1987 participants (1102 females, 885 males) from the WJ III, 4253 participants (2014 males, 2239 females) from the WJ-R, and 4225 participants…
Descriptors: Cognitive Ability, Reading Fluency, Gender Differences, Academic Achievement

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