User:Saros136

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Hi it's me.

hey there Saros136 08:54, 3 November 2006 (UTC)

it's me again, experimenting. Saros136 08:55, 3 November 2006 (UTC)

[edit] G factor

Murray and Herrnstein introduce the general intelligence factor (g) , an almost universally supported, and very important, construct in psychometry. In a battery of mental ability tests given to a group of people, all the test are positively correlated with each other; those who are above average in one will, on average, be above average on the others. Factor analysis can extract a smaller number of factors to account for the variation in the scores; this is possible because the more two tests measure the same thing, the greater their correlations will be. One factor, g can then be extracted (sometimes after another layer of specific factors are removed). The correlation of the test scores with g is its g-loading; a high one is desirable in a test. g is correlated with a wide range of social outcomes. Some are such as income, academic achievement, job performance, and career prestige, poverty, dropping out, and out-of-marriage childbirth. g correlates with both speed and consistency performance or elementary cognitive tasks (simple ones that can be done by everybody without failure). All of this was mentioned in The Bell curve, and many biologicial and neurological correlates have been discovered since,in addition to the long known ones such as brain size. These include the frequency of alpha brain waves, latency and amplitude of evoked brain potentials, rate of brain glucose metabolism, and general health as some of the best established ones.