The question 'What is intelligence?' may seem simple to answer, but the study and measurement of human intelligence is one of the most controversial subjects in psychology. For much of its history, the focus has been on differences between people, on what it means for one person to be more intelligent than another, and how such differences might have arisen, obscuring efforts to understand the general nature of intelligence. These are obviously fundamental questions, still widely debated and misunderstood. New definitions of intelligence and new factors affecting intelligence are frequently being described, while psychometric testing is applied in most large industries.
IQ and Human Intelligence provides a clear, authoritative overview of the main issues surrounding this fascinating area, including the development of IQ tests, the heritability of intelligence, theories of intelligence, environmental effects on IQ, factor analysis, relationship of cognitive psychology to measuring IQ, and intelligence in the social context. The clear, accessible style and numerous explanatory boxes make this the ideal text for advanced undergraduate and graduate students in psychology.
Online Resource Centre
The Online Resource Centre to accompany IQ and Human Intelligence features the following resources:
For registered adopters of the text:
- Figures from the book, available to download
For students:
- Hyperlinks to primary literature articles cited in the and 'Further Reading' sections of the book
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Nicholas Mackintosh is Professor Emeritus in the Department of Experimental Psychology, Cambridge University, having been Head of the Department from 1981 to 2002, and a Fellow of King's College, Cambridge. He has been a Fellow of the Royal Society since 1987 and has been Visiting Professor at the Universities of Pennsylvania, California (at Berkeley), Hawaii, New South Wales, Bryn Mawr College, Universite de Paris (Sud), and Yale University. He has authored several books, including The Psychology of Animal Learning, Conditioning and Associative Learning , and Cyril Burt: Fraud or Framed.
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