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Richard J. Haier

From Wikipedia, the free encyclopedia

Richard J. Haier
NationalityAmerican
Alma materUniversity at Buffalo (BA)
Johns Hopkins University (PhD)
Scientific career
FieldsPsychology, psychometrics
InstitutionsUniversity of California, Irvine

Richard J. Haier is an American psychologist who has researched a neural basis for human intelligence, psychometrics, general intelligence, and sex and intelligence.

Haier is currently a Professor Emeritus in the Pediatric Neurology Division of the School of Medicine at University of California, Irvine. He has a Ph.D. from Johns Hopkins University. He is also the editor-in-chief of the journal Intelligence since 2016.[1]

In 1994, he was one of 52 signatories on "Mainstream Science on Intelligence", an editorial written by the American psychologist Linda Gottfredson and published in the Wall Street Journal, which summarized findings from intelligence research, especially as they related to issues raised in The Bell Curve.[2]

He has worked with Rex Jung on the parieto-frontal integration theory (P-FIT) which uses neuro-imaging to examine the neuroscience of intelligence.[3][citation needed]

YouTube Encyclopedic

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  • Richard Haier: Neuroscience of IQ & Intelligence
  • Richard Haier on the Nature of Human Intelligence || The Psychology Podcast
  • The Neuroscience of Intelligence: Dr. Richard Haier

Transcription

Selected bibliography

Books

  • Haier, Richard J. (2016-12-28). The neuroscience of intelligence. Cambridge Fundamentals of Neuroscience in Psychology. New York: Cambridge University Press. ISBN 978-1107461437. OCLC 951742581.

Journal articles

References

  1. ^ "Closing the achievement gap the intelligent way". Times Higher Education. 2017-04-06. Retrieved 2017-09-04.
  2. ^ Gottfredson, Linda (December 13, 1994). "Mainstream Science on Intelligence". Wall Street Journal, p. A18.
  3. ^ Jung, Rex E.; Haier, Richard J. (April 2007). "The Parieto-Frontal Integration Theory (P-FIT) of intelligence: converging neuroimaging evidence". The Behavioral and Brain Sciences. 30 (2): 135–154, discussion 154–187. doi:10.1017/S0140525X07001185. ISSN 0140-525X. PMID 17655784. S2CID 14699011.

External links

This page was last edited on 15 April 2024, at 11:03
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