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The personal Jensen coefficient and grades in Dutch students
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Description: One can extract a Jensen coefficient (subtest x g-loading correlation) at the personal (case) level. Is it useful?
Abstract General intelligence (g) is known to predict grades at all educational levels. A Jensen coefficient is the correlation of subtests' g-loading with a vector of interest. I hypothesized that the personal Jensen coefficient from the subjects' subtest scores might predict grade point average beyond g. I used an open dataset to test this. The results showed that it does not seem to have predic…
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