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A 2020 review and meta-analysis of g in non-humans found that the average correlation between cognitive tasks was 0.18, suggesting weak support for general intelligence. [18] This study also highlighted limitations of factor-analytic procedures used to extract a single 'general' factor of intelligence and found that previous studies often ...
The g factor [a] is a construct developed in psychometric investigations of cognitive abilities and human intelligence.It is a variable that summarizes positive correlations among different cognitive tasks, reflecting the assertion that an individual's performance on one type of cognitive task tends to be comparable to that person's performance on other kinds of cognitive tasks.
A genetic correlation of 0 implies that the genetic effects on one trait are independent of the other, while a correlation of 1 implies that all of the genetic influences on the two traits are identical. The bivariate genetic correlation can be generalized to inferring genetic latent variable factors across > 2 traits using factor analysis ...
In terms of correlation statistics, this means that theoretically the correlation of tests scores between monozygotic twins would be 1.00 if genetics alone accounted for variation in IQ scores; likewise, siblings and dizygotic twins share on average half alleles and the correlation of their scores would be 0.50 if IQ were affected by genes ...
The g Factor was reviewed favorably by Canadian psychologist J. Philippe Rushton, who called it "an awesome and monumental exposition of the case for the reality of g." [3] Robert Sternberg was more critical in his review, writing that "there is a great deal of evidence of various kinds that the general factor does not do what Jensen claims."
The Bell Curve: Intelligence and Class Structure in American Life is a 1994 book by the psychologist Richard J. Herrnstein and the political scientist Charles Murray in which the authors argue that human intelligence is substantially influenced by both inherited and environmental factors and that it is a better predictor of many personal outcomes, including financial income, job performance ...
A meta-analytic review by McDaniel found that the correlation between intelligence and in vivo brain size was larger for females (0.40) than for males (0.25). [18] The same study also found that the correlation between brain size and Intelligence increased with age, with children showing smaller correlations. [18]
Charles Spearman developed his two-factor theory of intelligence using factor analysis. [1] His research not only led him to develop the concept of the g factor of general intelligence, but also the s factor of specific intellectual abilities. [ 2 ]