Mental Chronometry and the Unification of Differential Psychology

doi:10.1017/CBO9780511607073.003

2 - Mental Chronometry and the Unification of Differential Psychology

Published online by Cambridge University Press: 23 November 2009

Arthur R. Jensen

Edited by

Robert J. Sternberg and

Jean E. Pretz

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Robert J. Sternberg: Affiliation:
Yale University, Connecticut
Jean E. Pretz: Affiliation:
Yale University, Connecticut

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Summary

Mental chronometry is the measurement of cognitive speed. It is the actual time taken to process information of different types and degrees of complexity. The basic measurements are an individual's response time (RT) to a visual or auditory stimulus that calls for a particular response, choice, or decision.

Since at least the time of Sir Francis Galton (1822–1911), the father of differential psychology, it has been hypothesized by him and many others that mental speed is a major aspect of general intelligence. What we now know for sure is that RT can be a highly precise, reliable, and sensitive measure of individual differences. Its relationship to other psychological and ecological variables, however, is a complex affair just recently being explored.

Research on RT has a venerable history. Not only was it the earliest measurement technique used in empirical psychology, but also its scientific use as a measure of individual differences preceded the beginning of experimental psychology by at least half a century. The first published research on RT appeared in astronomy journals. Time, as measured by the earth's rotation with reference to a star's moment of transit across a hairline in the lens of a telescope, had to be measured as accurately as possible. In 1796 it was accidentally discovered by the Astronomer Royal at the Greenwich Observatory that astronomers showed individual differences in RT to the star's transit across the hairline.

Type: Chapter
Information: Cognition and Intelligence
Identifying the Mechanisms of the Mind
, pp. 26 - 50

DOI: https://doi.org/10.1017/CBO9780511607073.003 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2004

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References

Baddeley, A. (1986). Working memory. Oxford, UK: Clarendon Press

Baumeister, A. A. (1998). Intelligence and the “personal equation.”Intelligence, 26, 255–265CrossRef Google Scholar

Brinley, J. F. (1965). Cognitive sets, speed and accuracy in the elderly. In A. T. Welford & J. E. Birren (Eds.), Behavior, aging, and the nervous system (pp. 114–149). New York: Springer-Verlag

Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge, UK: Cambridge University Press

Caryl, P. G., Deary, I. J., Jensen, A. R., Neubauer, A. C., & Vickers, D. (1999). Information processing approaches to intelligence: Progress and prospects. In I. Mervielde, I. Deary, F. de Fruyt, & F. Ostendorf (Eds.), Personality psychology in Europe (Vol. 7, pp. 181–219). Tilburg, Netherlands: Tilburg University Press

Cerella, J. (1985). Information processing in the elderly. Psychological Bulletin, 98, 67–83CrossRef Google Scholar PubMed

Cerella, J., & Hale, S. (1994). The rise and fall in information-processing rates over the life span. Acta Psychologica, 86, 109–197CrossRef Google Scholar PubMed

Cohn, S. J., Carlson, J. S., & Jensen, A. R. (1985). Speed of information processing in academically gifted youths. Personality and Individual Differences, 6, 621–629CrossRef Google Scholar

Deary, I. J. (2000a). Looking down on human intelligence: From psychometrics to the brain. Oxford, UK: Oxford University Press

Deary, I. J. (2000b). Simple information processing and intelligence. In R. J. Sternberg (Ed.), Handbook of intelligence (pp. 267–284). Cambridge, UK: Cambridge University Press

Duncan, J., Seitz, R. J., Kolodny, J., Bor, D., Herzong, H., Ahmed, A., Newell, F. N., & Emslie, H. (2000). A neural basis for intelligence. Science, 289, 457–460CrossRef Google Scholar PubMed

Fry, A. F., & Hale, S. (1996). Processing speed, working memory, and fluid intelligence: Evidence for a developmental cascade. Psychological Science, 7, 237–241CrossRef Google Scholar

Groen, G. J., & Parkman, J. M. (1972). A chronometric analysis of simple addition. Psychological Review, 79, 329–343CrossRef Google Scholar

Hale, S. (1990). A global developmental trend in cognitive processing speed. Child Development, 61, 653–663CrossRef Google Scholar PubMed

Hale, S., & Jansen, J. (1994). Global processing-time coefficients characterize individual and group differences in cognitive speed. Psychological Science, 5, 384–389CrossRef Google Scholar

Hart, B. R. (1942). Tabulation of the probabilities for the ratio of the mean square successive difference to the variance. Annals of Mathematical Statistics, 13, 207–214CrossRef Google Scholar

Jensen, A. R. (1982a). The chronometry of intelligence. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 1, pp. 93–132). Hillsdale, NJ: Erlbaum

Jensen, A. R. (1982b). Reaction time and psychometric g. In H. J. Eysenck (Ed.), A model for intelligence (pp. 93–132). New York: Springer

Jensen, A. R. (1985). Methodological and statistical techniques for the chronometric study of mental abilities. In C. R. Reynolds & V. L. Wilson (Eds.), Methodological and statistical advances in the study of individual differences (pp. 51–116). New York: PlenumCrossRef

Jensen, A. R. (1987a). Individual differences in the Hick paradigm. In P. A. Vernon (Ed.), Speed of information processing and intelligence (pp. 101–175). Norwood, NJ: Ablex

Jensen, A. R. (1987b). The g beyond factor analysis. In R. R. Ronning, J. A. Glover, J. C. Conoley, & J. C. Witt (Eds.), The influence of cognitive psychology on testing (pp. 87–142). Hillsdale, NJ: Erlbaum

Jensen, A. R. (1992a). The importance of intraindividual variability in reaction time. Personality and Individual Differences, 13, 869–882CrossRef Google Scholar

Jensen, A. R. (1992b). The relation between information processing time and right/wrong responses. American Journal on Mental Retardation, 97, 290–292Google Scholar

Jensen, A. R. (1993). Why is reaction time correlated with psychometric g? Current Directions in Psychological Science, 2, 9–10CrossRef Google Scholar

Jensen, A. R. (1994). Reaction time. In R. J. Corsini (Ed.), Encyclopedia of Psychology, 2nd ed. (Vol. 3, pp. 282–285). New York: Wiley

Jensen, A. R. (1998a). The g factor. Westport, CT: Praeger

Jensen, A. R. (1998b). The suppressed relationship between IQ and the reaction time slope parameter of the Hick function. Intelligence, 26, 43–52CrossRef Google Scholar

Jensen, A. R., Larson, G. E., & Paul, S. M. (1988). Psychometric g and mental processing speed on a semantic verification test. Personality and Individual Differences, 9, 243–255CrossRef Google Scholar

Kail, R. (1991a). Developmental change in speed of processing during childhood and adolescence. Psychological Bulletin, 109, 490–501CrossRef Google Scholar

Kail, R. (1991b). Development of processing speed in childhood and adolescence. Advances in Child Development and Behavior, 23, 151–185CrossRef Google Scholar

Kranzler, J. H. (1992). A test of Larson and Alderton's (1990) worst performance rule of reaction time variability. Personality and Individual Differences, 13, 255–261CrossRef Google Scholar

Kyllonen, P. C. (1993). Aptitude testing inspired by information processing: A test of the four-sources model. Journal of General Psychology, 120, 375–405CrossRef Google Scholar

Larson, G. E., & Alderton, D. L. (1990). Reaction time variability and intelligence: A “worst performance” analysis of individual differences. Intelligence, 14, 309–325CrossRef Google Scholar

Lohman, D. F. (2000). Complex information processing and intelligence. In R. J. Sternberg (Ed.), Handbook of intelligence (pp. 285–340). Cambridge, UK: Cambridge University PressCrossRef

Myerson, J., Zheng, Y., Hale, S, Jenkins, L., & Widaman, K. (2003). Difference engines: Mathematical models of diversity in speeded cognitive performance. Psychonomic Bulletin and Review, 10, 262–288CrossRef Google Scholar

Neubauer, A. C. (1997). The mental speed approach to the assessment of intelligence. In J. S. Carlson, J. Kingma, & W. Tomic (Eds.), Advances in cognition and educational practice: Reflections on the concept of intelligence (Vol. 4, pp. 149–173). Greenwich, CT: JAI Press Inc.

O'Hara, R., Sommer, B., & Morgan, K. (2001). Reaction time but not performance on cognitive tasks identifies individuals at risk for Alzheimer's disease: A preliminary report. Unpublished manuscript, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA.

Paul, S. M. (1984). Speed of information processing: The Semantic Verification Test and general mental ability. Unpublished Ph. D. dissertation, University of California, Berkeley

Rabbitt, P. (1996). Do individual differences in speed reflect “global” or “local” differences in mental abilities? Intelligence, 22, 69–88CrossRef Google Scholar

Salthouse, T. A. (1998). Relation of successive percentiles of reaction time distributions to cognitive variables and adult age. Intelligence, 26, 153–166CrossRef Google Scholar

Thompson, P. M., Cannon, T. D., Narr, K. L., Erp, T., Poutanen, V.-P., Huttunen, M., Longqvist, J., Standertkjold-Nordenstam, C.-G., Kaprio, J., Khaledy, M., Dail, R., Zoumalan, C. I., & Toga, A. W. (2001). Genetic influences on brain structure. Nature: Neuroscience, 4(No. 12), 1253–1258Google Scholar PubMed

Vernon, P. A. (Ed.) (1987). Speed of information processing and intelligence (pp. 101–175). Norwood, NJ: Ablex

Neumann, J. (1941). Distribution of the ratio of the mean square successive difference to the variance. Annals of Mathematical Statistics, 14, 378–388Google Scholar