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Arendasy, Martin E.; Sommer, Markus – Intelligence, 2012
There is a heated debate on whether observed gender differences in some figural matrices in adults can be attributed to gender differences in inductive reasoning/G[subscript f] or differential item functioning and/or test bias. Based on previous studies we hypothesized that three specific item design features moderate the effect size of the gender…
Descriptors: Test Items, Item Response Theory, Males, Test Bias
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Wicherts, Jelte M.; Bakker, Marjan – Intelligence, 2012
The authors argue that upon publication of a paper, the data should be made available through online archives or repositories. Reasons for not sharing data are discussed and contrasted with advantages of sharing, which include abiding by the scientific principle of openness, keeping the data for posterity, increasing one's impact, facilitation of…
Descriptors: Data, Publications, College Freshmen, Intelligence Tests
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Rushton, J. Philippe; Skuy, Mervyn; Fridjhon, Peter – Intelligence, 2003
Tested the hypothesis that the Raven's Advanced Progressive Matrices test has the same construct validity in African university students that it does in non-African university students. Differences in results for 294 engineering students in South Africa show that differences are not attributable to cultural peculiarities of the test, but are a…
Descriptors: College Students, Construct Validity, Cultural Differences, Engineering
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Haier, Richard J.; White, Nathan S.; Alkire, Michael T. – Intelligence, 2003
Administered Raven's Advanced Progressive Matrices to 22 adults and measured cerebral glucose activity as subjects viewed videos on 2 occasions. Data provide evidence that individual differences in intelligence correlate with brain function even when the brain is engaged in non-reasoning tasks. (SLD)
Descriptors: Adults, Individual Differences, Intelligence
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Babcock, Renee L. – Intelligence, 2002
Data for the Raven's Advanced Progressive Matrices test from 3 large studies for a total of 818 adults show that although older adults perform like low-ability young adults when the measure of interest is the number correct, there does not seem to be an age-related difference in the type of reasoning used. (SLD)
Descriptors: Ability, Age Differences, Intelligence, Intelligence Tests
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Kranzler, John H.; Jensen, Arthur R. – Intelligence, 1991
This study investigated whether a unitary elemental process or several independent processes underlie psychometric "g" (factor of general intelligence). Results with 101 college students administered 2 intelligence tests and a large battery of elementary cognitive tasks suggest that as many as 4 independent components make up…
Descriptors: Cognitive Measurement, College Students, Factor Structure, Higher Education
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Carroll, John B. – Intelligence, 1991
Because they used an inappropriate statistical procedure, J. H. Kranzler and A. R. Jensen (1991) have not demonstrated that a factor of general intelligence ("g") depends on several independent factors. A factorial reanalysis of their data suggests that speed and efficiency of information processing are important in "g." (SLD)
Descriptors: Cognitive Measurement, College Students, Factor Analysis, Factor Structure