Complexity of information processing and the speed-ability relationship

Journal of General Psychology

Volumn 125, Issue 1, 1998, Pages 89-102

  Schweizer, Karl ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0005767112     PISSN: 00221309     EISSN: 19400888     Source Type: Journal    
DOI: 10.1080/00221309809595578     Document Type: Article

References (35)

1. Bacheider, B. L., & Denny, M. R. (1977). A theory of intelligence: 1. Span and the complexity of stimulus control. Intelligence, I, 127-150.
2. Carroll, J. B. (1993). Human cognitive abilities. New York: Cambridge University Press.
3. Cattelf, R. B. (1950). Personality, a systematic and factual study. New York: McGraw-Hill.
4. Colonius, H. (1995). The instance theory of automaticity: Why the Weibull? Psychological Review, 102, 744-750.
5. Crawford, J. D. (1991). Intelligence, task complexity and the distinction between automatic and effortful mental processing. In H. Rowe (ed.). Intelligence: Reconceptualization and measurement. Hillsdale, NJ: Erlbaum.
6. Crawford, J. D., & Stankov, L. (1983). Fluid and crystallized intelligence and primacy/recency measures of short-term memory. Intelligence, 7, 227-252.
7. Ghiselii, E. E., Campbeil, J. P., & Zedeck, S. (1981). Measurement theory for the behavioral sciences. San Francisco: Freeman.
8. Guttman, L. (1954). A new approach to factor analysis: The radex. In P. F. Lazarsfeld (Ed.), Mathematical thinking in the social sciences (pp. 258-348). Glencoe, IL: Free Press.
9. Horn, W. (1983). Leistungspriifsystem (Efficiency-Test System).(2nd ed.) Göttingen, Germany: Hogrefe.
10. Hotteling, H. (1940). The section of variates for use in prediction with some comments on the general problem of nuisance parameters. Annals of Mathematical Statistics, 2, 271-283.
11. Jenkinson, J. C. (1983). Is speed of information processing related to fluid or to crystallized intelligence? Intelligence, 7, 91-106.
12. Jensen, A. R. (1982). The chronometry of intelligence. In R. J. Sternberg (Ed.). Advances in research on intelligence (Vol. 1, pp. 255-311). Hillsdale, NJ: Erlbaum.
13. Jensen, A. R. (1987). Individual differences in the Hick paradigm. In P. A. Vernon (Ed.), Speed of information processing and intelligence (pp. 103-175). Norwood. NJ: Ablex.
14. Logan, G. D. (1990). Repetition priming and automaticity: Common underlying mechanisms? Cognitive Psychology, 22, 1-35.
15. Logan, G. D. (1991). Automaticity and memory. In W. E. Hockley & S. Lewandowsky (Eds.), Relating theory and data: Essays of human memory in honor of Bennet B. Murdock (pp. 347-366). Hillsdale, NJ: Erlbaum.
16. Lohman, D. F. (1989). Individual differences in errors and latencies on cognitive tasks. Learning and individual Differences, 1(2), 203-226.
17. Marshalek, B., Lohman, D. F., & Snow, R. E. (1983). The complexity continuum in the radex and hierarchical models of intelligence, intelligence, 7, 107-127.
18. Popper, K. R. (1959). The logic of scientific discovery. London, England: Hutchinson.
19. Raven, J. C. (1962). Advanced progressive matrices. London. England: Lewis.
20. Roberts, R. D., Beh, H. C., & Stankov, L. (1988). Hick's law, competing tasks, and intelligence. Intelligence, 12, 101-120.
21. Roberts, R. D., Beh, H. C., Spilsbury, G., & Stankov, (1991). Evidence for an attentional model of human intelligence using the competing task paradigm. Personality and Individual Differences, 12, 445-455.
22. Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84, 1-55.
23. Schweizer, K. (1993). The contribution of external information, stimulus complexity, and variability to cognitive abilities. Personality and Individual Differences, 14, 87-95.
24. Schweizer, K. (1994). Structural diversity of the speed-ability relationship due to information-processing skills. Personality and Individual Differences, 17, 607-616.
25. Schweizer, K. (1996). The speed-accuracy transition due to task complexity. Intelligence, 22, 115-128.
26. Shiffrin, R. M., & Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory. Psychological Review. 84, 127-190.
27. Snow, R. E. (1989). Aptitude-treatment interaction as a framework for research on individual differences in learning. In P. L. Ackerman, R. J. Sternberg, & R. Glaser (Eds.), Learning and individual differences: Advances in theory and research (pp. 13-59). New York: Freeman.
28. Snow, R. E., Kyllonen, P. C., & Marshalek, B. (1984). The topography of ability and learning correlations. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 2, pp. 47-103). Hillsdale, NJ: Erlbaum.
29. Spearman, C. (1923). The nature of ''intelligence" and the principles of cognition. London, England: Macmillan.
30. Stankov, L., & Crawford, J. D. (1993). Ingredients of complexity in fluid intelligence. Learning and Individual Differences, 5, 73-111.
31. Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. New York: Cambridge University Press.
32. Tewes, U. (1991). HAWIE-R. Hamhurg-Wechsler-IntelUgenztest für Erwachsene (Revision 1991). Bern. Switzerland: Huber.
33. Thomson, G. H. (1939). The factorial analysis of human ability. London, England: University of London Press.
34. Wechsler, D. (1944). The measurement of adult intelligence. Baltimore: Williams & Wilkins.
35. Wood, R. E. (1986). Task complexity: definition of the construct. Organisational Behaviour and Human Decision Processes, 37, 60-82.