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Understandingg in terms of information processing

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Abstract

Psychometric g, the general factor in individual differences in all types of tests and performances involving any mental ability, has much wider importance and implications than are encompassed by the field of psychometrics. It is argued that the nature of g must be understood in terms of information processes rather than in terms of the specific knowledge and skills that are seen in the content of conventional mental tests. The wide range of individual differences in g and disparities in the distribution of g in different subpopulations have important implications for understanding some of the major problems confronting public education.

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References

  • Agrawal, N., Sinha, S. N., and Jensen, A. R. (1984). Effects of inbreeding on Raven Matrices.Behav. Genet. 14: 579–585.

    PubMed  Google Scholar 

  • Benton, D., and Cook, R. (1991). Vitamin and mineral supplements improve the intelligence scores and concentration of 6-year-old children.Personal. Indiv. Diff. 12: 1151–1158.

    Google Scholar 

  • Benton, S. L., Kraft, R. G., Glover, J. A., and Plake, B. S. (1984). Cognitive capacity differences among writers.J. Educat. Psychol. 76: 820–834.

    Google Scholar 

  • Bereiter, C. (1987). Jensen and educational differences. In Modgil, S., and Modgil, C. (eds.),Arthur Jensen: Consensus and Controversy The Falmer Press, New York.

    Google Scholar 

  • Bouchard, T. J., Jr., Lykken, D. T., McGue, M., Segal, N. L., and Tellegen, A. (1990). Sources of human psychological differences: The Minnesota study of twins reared apart.Science 250: 223–228.

    PubMed  Google Scholar 

  • Carroll, J. B. (1991a). No demonstration thatg is not unitary, but there's more to the story: Comment of Kranzler and Jensen.Intelligence 15.

  • Carroll, J. B. (1991b). Still no demonstration thatg is not unitary: Further comment on Kranzler and Jensen.Intelligence 15.

  • Carroll, J. B. (1992). The unitaryg problem once more: On Kranzler and Jensen.Intelligence 16.

  • Chase, W. G., and Ericsson, K. A. (1981). Skilled memory. In Anderson, J. R. (ed.),Cognitive Skills and Their Acquisition Lawrence Erlbaum Associates, Hillsdale, NJ.

    Google Scholar 

  • Chase, W. G., and Ericsson, K. A. (1982). Skill and working memory. In Bower, G. H. (ed.),The Psychology of Learning and Motivation (Vol. 16), Academic Press, New York.

    Google Scholar 

  • Clarke, A. M., and Clarke, A. D. B. (1989). The later cognitive effects of early intervention.Intelligence 13: 289–297.

    Google Scholar 

  • Cohn, S. J., Cohn, C. M. G., and Jensen, A. R. (1988). Myopia and Intelligence: A pleiotropic relationship?Hum. Genet. 80: 53–58.

    PubMed  Google Scholar 

  • Cole, N. S., and Moss, P. A. (1989). Bias in test use. In Linn, R. L. (ed.),Educational Measurement (3rd Ed.), Macmillan, New York.

    Google Scholar 

  • Coleman, J. S.,et al. (1966).Equality and Educational Opportunity, U. S. Department of Health, Education and Welfare.

  • Detterman, D. K., and Daniel, M. H. (1989). Correlations of mental tests with each other and with cognitive variables are highest for low IQ groups.Intelligence 13: 349–359.

    Google Scholar 

  • Detterman, D. K., & Sternberg, R. J. (eds.) (1982).How and How Much Can Intelligence Be Increased Ablex, Norwood, NJ.

    Google Scholar 

  • Estes, W. K. (1982). Learning, memory, and intelligence. In Sternberg, R. J. (ed.),Handbook of Human Intelligence Cambridge University Press, Cambridge.

    Google Scholar 

  • Eysenck, H. J. (ed.) (1982).A Model for Intelligence Springer-Verlag, Heidelberg.

    Google Scholar 

  • Eysenck, H. J. (1987). Speed of information processing, reaction time, and the theory of intelligence. In Vernon, P. A. (ed.),Speed of Information Processing and Intelligence Ablex, Norwood, NJ.

    Google Scholar 

  • Eysenck, H. J., and Eysenck, S. B. G. (eds.) (1991). Improvement of I. Q. and behavior as a function of dietary supplementation: A symposium.Personal. Indiv. Diff. 12: 329–365.

    Google Scholar 

  • Fogarty, G., and Stankov, L. (1982). Competing tasks as an index of intelligence.Personal. Indiv. Diff. 3: 407–422.

    Google Scholar 

  • Garber, H. L. (1987).The Milwaukee Project: Preventing Mental Retardation in Children at Risk American Association on Mental Retardation, Washington, D.C.

    Google Scholar 

  • Gorsuch, R. L. (1983).Factor Analysis (2nd Ed.), Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Gottfredson, L. S. (1988). Reconsidering fairness: A matter of social and ethical priorities.J. Vocation. Behav. 33: 293–319.

    Google Scholar 

  • Haier, R. J., Siegel, B. V., Nuechterlein, K. H., Hazlett, E., Wu, J. C., Paek, J., Browning, J. L., and Buchsbaum, M. S. (1988). Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography.Intelligence 12: 199–217.

    Google Scholar 

  • Harman, H. H. (1976).Modern Factor Analysis (revised 3rd Ed.), University of Chicago Press, Chicago.

    Google Scholar 

  • Humphreys, L. G. (1985a). Race differences and the Spearman hypothesis.Intelligence 9: 275–283.

    Google Scholar 

  • Humphreys, L. G. (1985b). Attenuated hypothesis or attenuated test of hypothesis?Intelligence 9: 291–295.

    Google Scholar 

  • Hunter, J. E. (1986). Cognitive ability, cognitive aptitudes, job knowledge, and job performance.J. Vocation. Behav. 29: 340–362.

    Google Scholar 

  • Jensen, A. R. (1978). Genetic and behavioral effects of nonrandom mating. In Osborne, R. T., Noble, C. E., and Weyl, N. (eds.),Human Variation: The Biopsychology of Age, Race, and Sex Academic Press, New York.

    Google Scholar 

  • Jensen, A. R. (1980).Bias in Mental Testing The Free Press, New York.

    Google Scholar 

  • Jensen, A. R. (1981).Straight Talk About Mental Tests The Free Press, New York.

    Google Scholar 

  • Jensen, A. R. (1983). Effects of inbreeding on mental-ability factors.Personal. Indiv. Diff. 4: 71–87.

    Google Scholar 

  • Jensen, A. R. (1984). Test validity:g versus the specificity doctrine.J. Soc. Biol. Struct. 7: 93–118.

    Google Scholar 

  • Jensen, A. R. (1985a). The nature of the Black-White difference on various psychometric tests: Spearman's hypothesis.Behav. Brain Sci. 8: 193–219.

    Google Scholar 

  • Jensen, A. R. (1985b). The Black-White difference ing: A phenomenon in search of a theory.Behavior. Brain Sci. 8: 246–263.

    Google Scholar 

  • Jensen, A. R. (1985c). Methodological and statistical techniques for the chronometric study of mental abilities. In Reynolds, C. R., Willson, V. L. (eds.),Methodological and Statistical Advances in the Study of Individual Differences Plenum, New York.

    Google Scholar 

  • Jensen, A. R. (1985d). Humphreys's attenuated test of Spearman's hypothesis.Intelligence 9: 285–289.

    Google Scholar 

  • Jensen, A. R. (1987a). Theg beyond factor analysis. In Conoley, J. C., Glover, J. A., and Ronning, R. R. (eds.),The Influence of Cognitive Psychology on Testing and Measurement Lawrence Erlbaum Associates, Hillsdale, NJ.

    Google Scholar 

  • Jensen, A. R. (1987b). Individual differences in the Hick reaction time paradigm. In Vernon, P. A. (ed.),Intelligence and Speed of Information Processing Ablex, Norwood, NJ.

    Google Scholar 

  • Jensen, A. R. (1987c). Further evidence for Spearman's hypothesis concerning Black-White differences on psychometric tests.Behavior. Brain Sci. 10: 512–519.

    Google Scholar 

  • Jensen, A. R. (1987d). Process differences and individual differences in some cognitive tasks.Intelligence 11: 107–136.

    Google Scholar 

  • Jensen, A. R. (1988). Speed of information processing and population differences. In Irvine, S. H. and Berry, J. W. (eds.),Human Abilities in Cultural Context Cambridge University Press, London.

    Google Scholar 

  • Jensen, A. R. (1989a). The relationship between learning and intelligence.Learn. Indiv. Diff. 1: 37–62.

    Google Scholar 

  • Jensen, A. R. (1989b). Raising IQ without increasingg? A review of “The Milwaukee Project: Preventing mental retardation in children at risk.”Development. Rev. 9: 234–258.

    Google Scholar 

  • Jensen, A. R. (1990). Speed of information processing in a calculating prodigy.Intelligence 14: 259–274.

    Google Scholar 

  • Jensen, A. R. (1991a). Spearman'sg and the problem of educational equality.Oxford Rev. Educat. 17: 169–187.

    Google Scholar 

  • Jensen, A. R. (1991b). Speed of elementary cognitive processes: A chronometric anchor for psychometric tests ofg.Psychol. Test. Bull. 4: 59–70.

    Google Scholar 

  • Jensen, A. R. (in press a). The importance of intraindividual variability in reaction time.Personal. Indiv. Diff.

  • Jensen, A. R. (in press b). Psychometricg and achievement. In B. R. Gifford (ed.),Current Views of Testing: A Policy Perspective, Klewer Academic Publishing Co., Boston.

  • Jensen, A. R. (in press c). Spearman's hypothesis tested with chronometric information-processing tasks.Intelligence.

  • Jensen, A. R. (in press d). Spearman's hypothesis: Methodology and evidence.Multivariate Behavioral Research.

  • Jensen, A. R. (in press e). More on psychometricg and “Spearman's hypothesis.”Multivariate Behavioral Research.

  • Jensen, A. R., and Figueroa, R. A. (1975). Forward and backward digit-span interaction with race and IQ: Predictions from Jensen's theory.J. Educat. Psychol. 67: 882–893.

    Google Scholar 

  • Jensen, A. R., and Reed, T. E. (1990). Simple reaction time as a suppressor variable in the chronometric study of intelligence.Intelligence 14: 375–388.

    Google Scholar 

  • Jensen, A. R., and Reynolds, C. R. (1982). Race, social class, and ability patterns on the WISC-R.Personal. Indiv. Diff. 3: 423–438.

    Google Scholar 

  • Jensen, A. R., and Sinha, S. N. (in press). Physical correlates of intelligence. In Vernon, P. A. (ed.),Biological Approaches to the Study of Human Intelligence, Ablex, Norwood, NJ.

  • Jensen, A. R., and Whang, P. A. (in press). Reaction times and intelligence: A comparison of Chinese-American and Anglo-American children.J. Biosoc. Sci.

  • Jensen, A. R., and Weng, L.-J. (in press). What is a goodg?Intelligence.

  • Johnson, F. W. (1991). Biological factors and psychometric intelligence.Genet. Soc. Gen. Psychol. Monogr. 117: 313.

    PubMed  Google Scholar 

  • Kaiser, H. F. (1968). A measure of the average intercorrelation.Educat. Psychol. Meas. 28: 245–247.

    Google Scholar 

  • Kaiser, H. F., and Michael, W. B. (1975). Domain validity and generalizability.Educat. Psychol. Meas. 35: 31–35.

    Google Scholar 

  • Kranzler, J. H., and Jensen, A. R. (1989). Inspection time and intelligence: A meta-analysis.Intelligence 13: 329–347.

    Google Scholar 

  • Kranzler, J. H., and Jensen, A. R. (1991a). The nature of psychometricg: Unitary process or a number of independent processes?Intelligence 15.

  • Kranzler, J. H., and Jensen, A. R. (1991b). Unitaryg: Unquestioned postulate or empirical fact?Intelligence 15.

  • Kranzler, J. H., and Jensen, A. R. (1992). Psychometricg still not unitary after eliminating supposed “impurities”: Further comment on Carroll.Intelligence 16.

  • Larson, G. E., and Saccuzzo, D. P. (1989). Cognitive correlates of general intelligence: Toward a process theory ofg.Intelligence 13: 5–31.

    Google Scholar 

  • Lehrl, S., and Fischer, B. (1988). The basic parameters of human information processing: Their role in the determination of intelligence.Personal. Indiv. Diff. 9: 883–896.

    Google Scholar 

  • Loehlin, J. C., Lindzey, G., and Spuhler, J. N. (1975).Race Differences in Intelligence W. H. Freeman, San Francisco.

    Google Scholar 

  • Lynn, R. (1990). The role of nutrition in secular increases in intelligence.Personal. Indiv. Diff. 11: 273–285.

    Google Scholar 

  • Lynn, R., and Holmshaw, M. (1990). Black-White differences in reaction times and intelligence.Soc. Behav. Personal. 18: 299–308.

    Google Scholar 

  • Lynn, R., and Shigehisa, T. (1991). Reaction times and intelligence: A comparison of Japanese and British children.J. Biosoc. Sci. 23: 409–416.

    PubMed  Google Scholar 

  • Lynn,, R., Wilson, R. G., and Gault, A. (1989). Simple musical tests as measures of Spearman'sg.Personal. Indiv. Diff. 10: 25–28.

    Google Scholar 

  • Marshalek, B., Lohman, D. F., and Snow, R. E. (1983). The complexity continuum in the radex and hierarchical models of intelligence.Intelligence 7: 107–127.

    Google Scholar 

  • Naglieri, J. A., and Jensen, A. R. (1987). Comparison of Black-White differences on the WISC-R and the K-ABC: Spearman's hypothesis.Intelligence 11: 21–43.

    Google Scholar 

  • Nagoshi, C. T., and Johnson R. C. (1986). The ubiquity ofg.Personal. Indiv. Diff. 7: 201–207.

    Google Scholar 

  • Nettelbeck, T. (1987). Inspection time and intelligence. In Vernon, P. A. (ed.),Speed of Information Processing and Intelligence Ablex, Norwood, NJ.

    Google Scholar 

  • Nichols, R. C. (1987). Racial differences in intelligence. In Modgil, S. and Modgil, C. (eds.),Arthur Jensen: Consensus and Controversy The Falmer Press, New York.

    Google Scholar 

  • O'Connor, N., and Hermelin, B. (1984). Idiot savant calendrical calculators: Maths or memory?Psychol. Med. 14: 801–806.

    PubMed  Google Scholar 

  • Plomin, R. (1987). Genetics of intelligence. In Modgil, S. and Modgil, C. (eds.),Arthur Jensen: Consensus and Controversy Falmer Press, New York.

    Google Scholar 

  • Plomin, R. (1988). The nature and nurture of cognitive abilities. In Sternberg, R. J. (ed.),Advances in the Psychology of Human Intelligence (Vol. 4), Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Plomin, R. (1990). The inheritance of behavior.Science 248: 183–188.

    PubMed  Google Scholar 

  • Posner, M. I. (1978).Chronometric Explorations of Mind Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Raz, N., Willerman, L., Ingmundson, P., and Hanlon, M. (1983). Aptitude-related differences in auditory recognition masking.Intelligence 7: 71–90.

    Google Scholar 

  • Reed, T. E., and Jensen, A. R. (in press). Nerve conduction velocity in a brain pathway: Correlation with intelligence in normal adults.Intelligence.

  • Rushton, J. P. (1988). Race differences in behavior: A review and evolutionary analysis.Personal. Indiv. Diff. 6: 441–452.

    Google Scholar 

  • Rushton, J. P. (1989). Japanese inbreeding depression scores: Predictors of cognitive difference between Blacks and Whites.Intelligence 13: 43–51.

    Google Scholar 

  • Rushton, J. P. (1991). Mongoloid-Caucasoid differences in brain size from military samples.Intelligence 15: 351–359.

    Google Scholar 

  • Rushton, J. P. (in press). Cranial capacity related to sex, rank and race in a stratified random sample of 6325 U.S. military personnel.Intelligence.

  • Scarr, S., and Weinberg, R. A. (1976). IQ test performance of Black children adopted by White families.Am. Psychol. 31: 726–739.

    Google Scholar 

  • Scarr, S., Weinberg, R. A., and Gargiulo, J. (June 1987).Transracial Adoption: A Ten-Year Follow-Up. Abstract in Program of the 17th Annual Meeting of the Behavior Genetics Association, Minneapolis, MN.

  • Schmidt, F. L. (1988). The problem of group differences in ability test scores in employment selection.J. Vocation. Behav. 33: 272–292.

    Google Scholar 

  • Shiffrin, R. M., and Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory.Psychol. Rev. 84: 127–190.

    Google Scholar 

  • Smith, G. A., and Stanley, G. (1987). Comparing subtest profiles ofg loadings and correlations with RT measures.Intelligence 11, 291–298.

    Google Scholar 

  • Snow, R. E., Kyllonen, P. C., and Marshalek, B. (1984). The topography of ability and learning correlations. In Sternberg, R. J. (ed.),Advances in the Psychology of Human Intelligence (Vol. 2), Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Spearman, C. (1927).The Abilities of Man Macmillan, London.

    Google Scholar 

  • Spitz, H. H. (1986).The Raising of Intelligence: A Selected History of Attempts to Raise Retarded Intelligence Lawrence Erlbaum Associates, Hillsdale, NJ.

    Google Scholar 

  • Spitz, H. H. (1988). Wechsler subtest patterns of mentally retarded groups: Relationship tog and to estimates of heritability.Intelligence 12: 279–297.

    Google Scholar 

  • Thorndike, R. L. (1985). The central role of general ability in prediction.Multivar. Behav. Res. 20: 241–254.

    Google Scholar 

  • Thorndike, R. L. (1986). The role of general ability in prediction.J. Vocation. Behav. 29: 332–339.

    Google Scholar 

  • Thorndike, R. L. (1987). Stability of factor loadings.Personal. Indiv. Diff. 8: 585–586.

    Google Scholar 

  • Vernon, P. A. (1983). Speed of information processing and intelligence.Intelligence 7: 53–70.

    Google Scholar 

  • Vernon, P. A. (ed.) (1987).Speed of Information Processing and Intelligence Ablex, Norwood, NJ.

    Google Scholar 

  • Vernon, P. A. (1989). The heritability of measures of speed of information-processing.Personal. Indiv. Diff. 10: 573–576.

    Google Scholar 

  • Vernon, P. A. (ed.) (in press).Biological Approaches to the Study of Human Intelligence, Ablex, Norwood, NJ.

  • Vernon, P. A., and Kantor, L. (1986). Reaction time correlations with intelligence test scores obtained under either timed or untimed conditions.Intelligence 10: 315–330.

    Google Scholar 

  • Vernon, P. A., Nador, S., and Kantor, L. (1985). Reaction times and speed-of-processing: Their relationship to timed and untimed measures of intelligence.Intelligence 9: 357–374.

    Google Scholar 

  • Vernon, P. E. (1982).The Abilities and Achievements of Orientals in North America Academic Press, New York.

    Google Scholar 

  • Weinberg, R. A., Scarr, S., and Waldman, I. D. (1992). The Minnesota transracial adoption study: A follow-up of IQ test performance at adolescence.Intelligence 16: 117–135.

    Google Scholar 

  • Whang, P. A. (1991). Cognitive Factors Influencing the Mathematics Achievement of 4th, 5th, and 6th Grade Chinese American Students. Unpublished doctoral dissertation, University of California, Berkeley.

    Google Scholar 

  • Wigdor, A. K., and Garner, W. R. (eds.) (1982).Ability Testing: Uses, Consequences, and Controversies. Part I: Report of the Committee: Part II: Documentation Section. National Academy Press, Washington D.C.

    Google Scholar 

  • Willerman, L., Schultz, R., Rutledge, J. N., and Bigler, E. D. (1991).In vivo brain size and intelligence.Intelligence 15: 223–228.

    Google Scholar 

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  1. School of Education, University of California, 94720, Berkeley, California

    Arthur R. Jensen

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Jensen, A.R. Understandingg in terms of information processing. Educ Psychol Rev 4, 271–308 (1992). https://doi.org/10.1007/BF01417874

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