A Genetic Investigation of the Covariation among Inspection Time, Choice Reaction Time, and IQ Subtest Scores

Behavior Genetics

Volumn 34, Issue 1, 2004, Pages 41-50

  Luciano, Michelle ^a   Wright, Margaret J ^a   Geffen, Gina M ^b   Geffen, Laurie B ^b   Smith, Glen A ^a   Martin, Nicholas G ^a  

^a QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Choice RT: IQ subtests; Inspection time; Multivariate genetic modeling; Processing speed

Indexed keywords

ADOLESCENT; ADULT; APTITUDE TEST; ARTICLE; AUTOMATION; COVARIANCE; DEPTH PERCEPTION; ENVIRONMENTAL FACTOR; FEMALE; GENETIC MODEL; HEREDITY; HUMAN; INTELLIGENCE QUOTIENT; INTELLIGENCE TEST; MALE; NORMAL HUMAN; PROCESSING; REACTION TIME; SCORING SYSTEM; TIME; VELOCITY; VERBAL BEHAVIOR;

ADOLESCENT; ATTENTION; CHOICE BEHAVIOR; FEMALE; HUMANS; INTELLIGENCE; MALE; MODELS, GENETIC; MULTIVARIATE ANALYSIS; REACTION TIME; TWINS, DIZYGOTIC; TWINS, MONOZYGOTIC;

EID: 0942279598     PISSN: 00018244     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:BEGE.0000009475.35287.9d     Document Type: Article

References (31)

1. Barrett, G. V., Alexander, R. A., Doverspike, D., Cellar, D., and Thomas, J. C. (1982). The development and application of a computerized information-processing test battery. Appl. Psychol. Measurement 6:13-29.
2. Burns, N. R., and Nettelbeck, T. (2003). Inspection time in the structure of cognitive abilities: Where does IT fit. Intelligence 31:237-255.
3. Cooper, C., Kline, P., and Maclaurin-Jones, L. (1986). Inspection time and primary abilities. Br. J. Educ. Psychol. 56:304-308.
4. Crawford, J. R., Deary, I. J., Allan, K. M., and Gustafsson, J. (1998). Evaluating competing models of the relationship between inspection time and psychometric intelligence. Intelligence 26:27-42.
5. Deary, I. J. (1993). Inspection time and WAIS-R IQ subtypes: A confirmatory factor analysis study. Intelligence 17:223-236.
6. Detterman, D. K. (1986). Human intelligence is a complex system of separate processes. In R. J. Sternberg and D. K. Detterman (eds.), What Is Intelligence? Contemporary Viewpoints on Its Nature and Definition (pp. 57-62). Norwood, NJ: Ablex.
7. Eaves, L. J., Heath, A. C., and Martin, N. G. (1984). A note on the generalized effects of assortative mating. Behav. Genet. 14:371-376.
8. Evans, G., and Nettelbeck, T. (1993). Inspection time: A flash mask to reduce apparent movement effects. Person. Individ. Diff. 15:91-94.
9. Findlay, J. M. (1978). Estimates on probability functions: A more virulent PEST. Percep. Psychophysics 23:181-185.
10. Jackson, D. N. (1998). Multidimensional Aptitude Battery II. Port Huron, MI: Sigma Assessment Systems, Inc.
11. Jensen, A. R. (1993). Spearman's g: Links between psychometrics and biology. In F. M. Crinella and J. Yu (eds.), Brain Mechanisms: Papers in Memory of Robert Thompson (Vol. 702, pp. 103-130). New York: The New York Academy of Sciences.
12. Jensen, A. R. (1998). The g Factor. Westport, CT: Praeger.
13. Kranzler, J. H., and Jensen, A. R. (1991). The nature of psychometric g: Unitary process or a number of independent processes? Intelligence 15:397-422.
14. Larson, G. E., and Saccuzzo, D. P. (1989). Cognitive correlates of general intelligence: Toward a process theory of g. Intelligence 13:5-31.
15. Luciano, M., Wright, M. J., Geffen, G. M., Geffen, L. B., Smith, G. A., Evans, D. M., and Martin, N. G. (in press). A genetic two-factor model of the covariation among a subset of Multidimensional Aptitude Battery and WAIS-R subtests. Intelligence.
16. Luciano, M., Smith, G. A., Wright, M. J., Geffen, G. M., Geffen, L. B., and Martin, N. G. (2001a). On the heritability of inspection time and its covariance with IQ: A twin study. Intelligence 29:443-457.
17. Luciano, M., Smith, G. A., Wright, M. J., Geffen, G. M., Geffen, L. B., and Martin, N. G. (2001b). Genetic covariance among measures of information processing speed, working memory, and IQ. Behav. Genet. 31:581-592.
18. Mackintosh, N. J. (1998). IQ and Human Intelligence. New York: Oxford University Press.
19. Neale, M. C., Boker, S. M., Xie, G., and Maes, H. H. (1999). Mx: Statistical Modeling (5th ed.). Richmond, VA: Department of Psychiatry, University of Virginia.
20. Nettelbeck, T., and Rabbitt, P. M. A. (1992). Aging, cognitive performance, and mental speed. Intelligence 16:189-205.
21. Pentland, A. (1980). Maximum likelihood estimation: The best PEST. Percep. Psychophysics 28:377-379.
22. Petrill, S. A., Luo, D., Thompson, L. A., and Detterman, D. K. (1996). The independent prediction of general intelligence by elementary cognitive tasks: Genetic and environmental influences. Behav. Genet. 26:135-147.
23. Posthuma, D., de Geus, E. J. C., and Boomsma, D. I. (2001). Perceptual speed and IQ are associated through common genetic factors. Behav. Genet. 31:593-602.
24. Rijsdijk, F. V., Vernon, P. A., and Boomsma, D. I. (1998). The genetic basis of the relation between speed-of-information-processing and IQ. Behav. Brain Res. 95:77-84.
25. Saccuzzo, D. P., Johnson, N. E., and Guertin, T. L. (1994). Information processing in gifted versus nongifted African American, latino, filipino, and white children: Speeded versus nonspeeded paradigms. Intelligence 19:219-243.
26. Vernon, P. A. (1983). Speed of information processing and general intelligence. Intelligence 7:53-70.
27. Vernon, P. A. (1989). The heritability of measures of speed of information-processing. Person. Individ. Diff. 10:573-576.
28. Vigil-Colet, A., Perez-Olle, J., and Fernandez, M. (1997). The relationships of basic information processing measures with fluid and crystallized intelligence. Person. Individ. Diff. 23:55-65.
29. Wechsler, D. (1981). Wechsler Adult Intelligence Scale - Revised Manual. New York: The Psychological Corporation.
30. Wright, M. J., De Geus, E., Ando, J., Luciano, M., Posthuma, D., Ono, Y., Hansell, N. K., Van Baal, C., Hiraishi, K., Hasegawa, T., Smith, G., Geffen, G., Geffen, L., Kanba, S., Miyake, A., Martin, N., and Boomsma, D. (2001). Genetics of cognition: Outline of collaborative twin study. Twin Res. 4:48-56.
31. Zhu, G., Duffy, D. L., Eldridge, A., Grace, M., Mayne, C., O'Gorman, L., Aitken, J. F., Neale, M., Hayward, N. K., Green, A. C., and Martin, N. G. (1999). A major quantitative-trait locus for mole density is linked to the familial melanoma gene CDKN2A: A maximum-likelihood combined linkage and association analysis in twins and their sibs. Am. J. Human Genet. 65:483-492.