Ability Determinants of Individual Differences in Skilled Performance

doi:10.1017/CBO9780511607073.009

8 - Ability Determinants of Individual Differences in Skilled Performance

Published online by Cambridge University Press: 23 November 2009

Phillip L. Ackerman

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

At the most fundamental level, the relationship between intelligence and learning is close and convincing. Indeed, the modern era of intelligence assessment is identified with the critical success of Binet and Simon (1905) in their development of a set of scales that provided valid predictions of school success. These scales, or similar assessments inspired by this approach (such as the Wechsler Intelligence Scale for Children; Wechsler, 1949), continue to represent the best predictors of school success. School success, at least for children and adolescents, is considered by many to be the indicator of learning achievement. While this analysis works quite well for global measures of learning, there is far less utility of omnibus IQ-type measures for predicting individual differences in narrower domains of learning. If we want to predict which students will excel in learning a musical instrument, mastering power tools, or becoming adept at a particular sport, or even which students will become the fastest typists, the relationship between intelligence and learning appears to be much more complicated.

Part of the reason why IQ-type measures are less valid for predicting individual differences in skilled performance has to do with the relative “bandwidth” of the assessment instrument and the breadth of the criterion, or what has been referred to as a lack of Brunswik symmetry (Wittmann & Süß, 1999). That is, IQ tests have high bandwidth — they are typically constructed from as many as a dozen different scales (e.g., memory, reasoning, vocabulary, math, etc.).

Type: Chapter
Information: Cognition and Intelligence
Identifying the Mechanisms of the Mind
, pp. 142 - 159

DOI: https://doi.org/10.1017/CBO9780511607073.009 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2004

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References

Ackerman, P. L. (1987). Individual differences in skill learning: An integration of psychometric and information processing perspectives. Psychological Bulletin, 102, 3–27CrossRef Google Scholar

Ackerman, P. L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117, 288–318CrossRef Google Scholar

Ackerman, P. L. (1989). Within-task intercorrelations of skilled performance: Implications for predicting individual differences? Journal of Applied Psychology, 74, 360–364CrossRef Google Scholar

Ackerman, P. L. (1990). A correlational analysis of skill specificity: Learning, abilities, and individual differences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 883–901Google Scholar

Ackerman, P. L. (1992). Predicting individual differences in complex skill acquisition: Dynamics of ability determinants. Journal of Applied Psychology, 77, 598–614CrossRef Google Scholar PubMed

Ackerman, P. L., & Cianciolo, A. T. (1999). Psychomotor abilities via touchpanel testing: Measurement innovations, construct, and criterion validity. Human Performance, 12, 231–273Google Scholar

Ackerman, P. L., & Cianciolo, A. T. (2000). Cognitive, perceptual speed, and psychomotor determinants of individual differences during skill acquisition. Journal of Experimental Psychology: Applied, 6, 259–290Google Scholar PubMed

Ackerman, P. L., Kanfer, R., & Goff, M. (1995). Cognitive and noncognitive determinants and consequences of complex skill acquisition. Journal of Experimental Psychology: Applied, 1, 270–304Google Scholar

Ackerman, P. L., & Kyllonen, P. C. (1991). Trainee characteristics. In J. E. Morrison (Ed.), Training for performance: Principles of applied human learning (pp. 193–229). West Sussex, UK: Wiley

Ackerman, P. L., & Woltz, D. J. (1994). Determinants of learning and performance in an associative memory/substitution task: Task constraints, individual differences, and volition. Journal of Educational Psychology, 86, 487–515CrossRef Google Scholar

Adams, J. A. (1957). The relationship between certain measures of ability and acquisition of a psychomotor response. Journal of General Psychology, 56, 121–134CrossRef Google Scholar

Adams, J. A. (1987). Historical review and appraisal of research on the learning, retention and transfer of human motor skills. Psychological Bulletin, 101, 41–74CrossRef Google Scholar

Barrett, G. V., Alexander, R. A., & Doverspike, D. (1992). The implications for personnel selection of apparent declines in predictive validities over time: A critique of Hulin, Henry, and Noon. Personnel Psychology, 45, 601–617CrossRef Google Scholar

Binet, A., & Simon, T. (1905). New methods for the diagnosis of the intellectual level of subnormals. L'Année Psychologique, 11, 191–244. Translated by Elizabeth S. Kite and reprinted in J. J. Jenkins & D. G. Paterson (Eds.), Studies of individual differences: The search for intelligence (pp. 90–96). New York: Appleton-Century-Crofts

Bryan, W. L., & Harter, N. (1899). Studies on the telegraphic language: The acquisition of a hierarchy of habits. Psychological Review, 6, 345–375Google Scholar

Card, S. K., Moran, T. P., & Newell, A. (1983). The psychology of human–computer interaction. Hillsdale, NJ: Erlbaum

Carroll, J. B. (1980). Individual difference relations in psychometric and experimental cognitive tasks. (Tech. Rep. No. 163). Chapel Hill: University of North Carolina, The L. L. Thurstone Psychometric Laboratory. (Also NTIS document AD-A 086057 and ERIC Doc. ED-191–891.)CrossRef

Chaiken, S. R., Kyllonen, P. C., & Tirre, W. C. (2000). Organization and components of psychomotor ability. Cognitive Psychology, 40, 198–226CrossRef Google Scholar PubMed

Cronbach, L. J., & Furby, L. (1970). How we should measure “change” — or should we? Psychological Bulletin, 74, 68–80CrossRef Google Scholar

Deary, I. J., & Stough, C. (1996). Intelligence and inspection time: Achievements, prospects, and problems. American Psychologist, 51, 599–608CrossRef Google Scholar

Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology, 47, 273–305CrossRef Google Scholar PubMed

Ferguson, G. A. (1956). On transfer and the abilities of man. Canadian Journal of Psychology, 10, 121–131CrossRef Google Scholar

Fitts, P., & Posner, M. I. (1967). Human performance. Belmont, CA: Brooks/Cole

Fleishman, E. A. (1956). Psychomotor selection tests: Research and application in the U.S. Air Force. Personnel Psychology, 9, 449–467CrossRef Google Scholar

Fleishman, E. A. (1972). On the relation between abilities, learning, and human performance. American Psychologist, 27, 1017–1032CrossRef Google Scholar

Fleishman, E. A., & Hempel, W. E. Jr. (1955). The relation between abilities and improvement with practice in a visual discrimination reaction task. Journal of Experimental Psychology, 49, 301–316CrossRef Google Scholar

Fleishman, E. A., & Hempel, W. E. Jr. (1956). Factorial analysis of complex psychomotor performance and related skills. The Journal of Applied Psychology, 40, 96–104CrossRef Google Scholar

Frederiksen, J. R., Warren, B. M., & Rosebery, A. S. (1985). A componential approach to training reading skills: Part 1. Perceptual units training. Cognition and Instruction, 2, 91–130CrossRef Google Scholar

Henry, R. A., & Hulin, C. L. (1987). Stability of skilled performance across time: Some generalizations and limitations on utilities. Journal of Applied Psychology, 72, 457–462CrossRef Google Scholar

Hulin, C. L., Henry, R. A., & Noon, S. L. (1990). Adding a dimension: Time as a factor in the generalizability of predictive relationships. Psychological Bulletin, 107, 1–13CrossRef Google Scholar

Humphreys, L. G., & Taber, T. (1973). Postdiction study of the graduate record examination and eight semesters of college grades. Journal of Educational Measurement, 10, 179–184CrossRef Google Scholar

Hunt, E., Frost, N., & Lunneborg, C. (1973). Individual differences in cognition: A new approach to intelligence. In G. Bower (Ed.), Advances in learning and motivation (Vol. 7, pp. 87–122). New York: Academic pressCrossRef

Jensen, A. R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger

Kanfer, R., & Ackerman, P. L. (1989). Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. Journal of Applied Psychology — Monograph, 74, 657–690CrossRef Google Scholar

Kyllonen, P. C., & Christal, R. E. (1989). Cognitive modeling of learning abilities: A status report of LAMP. In R. Dillon and J. W. Pellegrino (Eds.), Testing: Theoretical and applied issues, San Francisco: Freeman

Kyllonen, P. C., & Stephens, D. L. (1990). Cognitive abilities as determinants of success in acquiring logic skill. Learning and Individual Differences, 2, 129–160CrossRef Google Scholar

Kyllonen, P. C., & Woltz, D. J. (1989). Role of cognitive factors in the acquisition of cognitive skill. In R. Kanfer, P. L. Ackerman, & R. Cudeck (Eds.), Abilities, motivation, and methodology: The Minnesota symposium on learning and individual differences (pp. 239–280). Hillsdale, NJ: Erlbaum

Kyllonen, P. C., Tirre, W. C., & Christal, R. E. (1991). Knowledge and processing speed as determinants of associative learning. Journal of Experimental Psychology: General, 120(1), 57–79CrossRef Google Scholar

Lakatos, I. (Ed.) (1978). The methodology of scientific research programmes: Philosophical papers (Vol. 1). Cambridge, UK: Cambridge University PressCrossRef

Lohman, D. F. (1999). Minding our p's and q's: On finding relationships between learning and intelligence. In P. L. Ackerman, P. C. Kyllonen, & R. D. Roberts (Eds.), Learning and individual differences: Process, trait, and content determinants (pp. 55–76). Washington, DC: American Psychological Association

Melton, A. W. (Ed.) (1947). Army Air Forces Aviation Psychology Program Research Reports: Apparatus Tests. Report No. 4. Washington, DC: U.S. Government Printing Office

Pena, C. M., & Tirre, W. C. (1992). Cognitive factors involved in the first stage of programming skill acquisition. Learning and Individual Differences, 4, 311–334CrossRef Google Scholar

Popper, K. R. (1963). Conjectures and refutations. New York: Harper & Row

Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning: The componential analysis of human abilities. Hillsdale, NJ: Erlbaum

Sternberg, R. J. (1985). Human abilities: An information-processing approach. New York: Freeman

Thorndike, E. L. (1924). Measurement of intelligence. Psychological Review, 31, 219–252CrossRef Google Scholar

Tirre, W. C. (1992). Can reading ability be measured with tests of memory and processing speed. Journal of General Psychology, 119, 141–160CrossRef Google Scholar PubMed

Wechsler, D. (1949). Wechsler Intelligence Scale for Children. NY: Psychological Corporation

Wittmann, W. W., & Süß, H.-M. (1999). Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik symmetry. In P. L. Ackerman, P. C. Kyllonen, & R. D. Roberts (Eds.), Learning and Individual Differences: Process, Trait, and Content Determinants (pp. 77–108). Washington, DC: American Psychological Association

Woltz, D. J., Bell, B. G., Kyllonen, P. C., & Gardner, M. K. (1996). Memory for order of operations in the acquisition and transfer of sequential cognitive skills. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 438–457Google Scholar

Woodrow, H. (1946). The ability to learn. Psychological Review, 53, 147–158CrossRef Google Scholar

Zeaman, D., & House, B. J. (1967). The relation of IQ and learning. In R. M. Gagné (Ed.), Learning and individual differences (pp. 192–212). Columbus, OH: Charles Merrill