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EDITORIAL Mainstream Science on Intelligence: An Editorial With 52 Signatories, History, and Bibliography LINDA S. GOTTFREDSON University of Delaware The following statement was first published in the Wall Street Journal, December 13, 1994.
Abstract. Reprints a statement published in the Wall Street Journal (1994) that outlines conclusions on intelligence regarded as mainstream among researchers, in particular research on the nature, origins, and practical conclusions of individual and group differences in intelligence.
"Mainstream Science on Intelligence" was a public statement issued by a group of researchers led by psychologist Linda Gottfredson. It was published originally in The Wall Street Journal on December 13, 1994, as a response to criticism of the book The Bell Curve by Richard Herrnstein and Charles Murray , which appeared earlier the ...
Mainstream science on intelligence: An editorial with 52 signatories, history, and bibliography | Semantic Scholar. DOI: 10.1016/S0160-2896 (97)90011-8. Corpus ID: 143617483. Mainstream science on intelligence: An editorial with 52 signatories, history, and bibliography. L. Gottfredson. Published 1997. Psychology, Political Science, History.
Mainstream Science on Intelligence: An Editorial with 52 Signatories, History, and Bibliography. Gottfredson, Linda S. Intelligence, v24 n1 p13-23 Jan-Feb 1997. This statement signed by 52 researchers outlines conclusions regarded as mainstream among researchers on intelligence, especially on the nature, origins, and practical consequences of ...
Mainstream Science on Intelligence: Scientific career: Fields: Educational psychology Psychometry: Institutions: University of Delaware, editorial boards of Intelligence, Learning and Individual Differences, and Society: Thesis: The relation of situs of work to occupational achievement (1977)
Mainstream science on intelligence: An editorial with 52 signatories, history and bibliography. The article is a classic. It’s one of the best overviews of intelligence, its causes, and its consequences. Click HERE for article. 6. Non-g factors predict educational and occupational criteria: More than g.
