Intellau_Celistic
5'3 KHHV Mentalcel
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- Joined
- Aug 26, 2021
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Races vary in intelligence, due to a general cognitive ability labeled 'g'.
G influences health:
Early in the century-old study of
intelligence, researchers discovered that
all tests of mental ability ranked individ-
uals in about the same way.
Although mental tests are often designed to mea-
sure specific domains of cognition—ver-
bal fluency, say, or mathematical skill,
spatial visualization or memory—people
who do well on one kind of test tend to
do well on the others, and people who
do poorly generally do so across the
board. This overlap, or intercorrelation,
suggests that all such tests measure
some global element of intellectual abil-
ity as well as specific cognitive skills. In
recent decades, psychologists have
devoted much effort to isolating that
[UWSL]general factor, which is abbreviated[/UWSL][UWSL] [/UWSL][UWSL]g[/UWSL][UWSL],[/UWSL]
from the other aspects of cognitive abili-
ty gauged in mental tests
G influences health:
Average state IQ, state wealth and racial composition as predictors of state health statistics: Partial support for ‘g’ as a fundamental cause of health disparities
Abstract
This study examined the degree to which differences in average IQ across the 50 states was associated with differences in health statistics independent of differences in wealth, health care expenditures and racial composition. Results show that even after controlling for differences in state wealth and health care expenditures, average IQ had sizeable positive associations with a wide range of positive health indicators, and sizeable negative associations with a wide range of state health problems.
Consistent with Gottfredson's (2004) [Journal of Personality and Social Psychology, 86, 174−199.] hypotheses, some of the apparent associations between racial composition and health outcomes were accounted for by IQ differences.
Overall, the results partially confirmed that g does account for a significant portion of the variance many state health outcomes, but socio-economic factors and racial composition appear to also have important relations with some specific health outcomes.
Average state IQ, state wealth and racial composition as predictors of state health statistics: Partial support for ‘g’ as a fundamental cause of health disparities
This study examined the degree to which differences in average IQ across the 50 states was associated with differences in health statistics independen…
www.sciencedirect.com
Untimed Raven's Standard Progressive Matrices (SPM) were administered to 309 17- to 23-year-old students at the University of the Witwatersrand and the Rand Afrikaans University in Johannesburg, South Africa (173 Africans, 136 Whites; 205 women, 104 men). African students solved an average of 44 of the 60 problems whereas White students solved an average of 54 of the problems (p<.001). By the standards of the 1993 US normative sample, the African university students scored at the 14th percentile and the White university students scored at the 61st percentile (IQ equivalents of 84 and 104, respectively). The African–White differences were found to be greater on those items of the SPM with the highest item–total correlations, indicating a difference in g, or the general factor of intelligence. A small sex difference favoring males was found in both the African and the White samples, but unrelated to g.
Performance on Raven's Matrices by African and White University Students in South Africa
Untimed Raven's Standard Progressive Matrices (SPM) were administered to 309 17- to 23-year-old students at the University of the Witwatersrand and th…
www.sciencedirect.com
The fluid and crystallized abilities of white, black, and Hispanic adolescents and adults, both with and without an education covariate
Data from the standardization sample of the Kaufman Adolescent and Adult Intelligence Test (KAIT) were used to examine race/ethnic differences on the Horn-Cattell fluid and crystallized constructs. Samples included 768 individuals aged 11 to 24 years (575 White, 117 Black, 76 Hispanic) and 1,160 individuals aged 25 to 94 years (972 White, 124 Black, 64 Hispanic). Multivariate and univariate analyses were conducted, with and without an educational attainment covariate. Race/ethnic group was related significantly to performance on fluid and crystallized variables. Whites generally outscored Blacks and Hispanic on the diverse measures, namely, on tasks dependent on school learning (crystallized), and on those that reflect novel problem solving (fluid). These results maintained even with educational attainment covaried. Hispanics tended to perform better on fluid than on crystallized tests.
The fluid and crystallized abilities of white, black, and Hispanic adolescents and adults, both with and without an education covariate - PubMed
Data from the standardization sample of the Kaufman Adolescent and Adult Intelligence Test (KAIT) were used to examine race/ethnic differences on the Horn-Cattell fluid and crystallized constructs. Samples included 768 individuals aged 11 to 24 years (575 White, 117 Black, 76 Hispanic) and 1,160...
pubmed.ncbi.nlm.nih.gov