Methodological and Theoretical Implications of Intraindividual Variability in Perceptual-Motor Performance

Journals of Gerontology - Series B Psychological Sciences and Social Sciences

Volumn 59, Issue 2, 2004, Pages

  Nesselroade, John R ^a   Salthouse, Timothy A ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; CHRONOLOGY; COGNITION; FEMALE; HUMAN; INDIVIDUALITY; INTERMETHOD COMPARISON; INTRAINDIVIDUAL VARIABILITY; MAJOR CLINICAL STUDY; MALE; METHODOLOGY; MORTALITY; MOTOR PERFORMANCE; MOVEMENT PERCEPTION; OUTCOMES RESEARCH; PREDICTION; PRIORITY JOURNAL; TASK PERFORMANCE; THEORY;

EID: 1542283673     PISSN: 10795014     EISSN: None     Source Type: Journal    
DOI: 10.1093/geronb/59.2.P49     Document Type: Article

References (41)

1. Bennett, G. K., Seashore, H. G., & Wesman, A. G. (1997). Differential Aptitude Test. San Antonio, TX: The Psychological Corporation.
2. Bereiter, C. (1963). Some persisting dilemmas in the measurement of change. In C. W. Harris (Ed.), Problems in measuring change (pp. 3-20). Madison, WI: University of Wisconsin Press.
3. Boker, S. M., & Nesselroade, J. R. (2002). A method for modeling the intrinsic dynamics of intraindividual variability: Recovering the parameters of simulated oscillators in multi-wave data. Multivariate Behavioral Research, 37, 127-160.
4. Browne, M. W., & Nesselroade, J. R. (in press). Representing psychological processes with dynamic factor models: Some promising uses and extensions of ARMA time series models. In A. Maydeu-Olivares & J. J. McArdle (Eds.), Psychometrics: A festschrift to Roderick P. McDonald. Mahwah, NJ: Erlbaum.
5. Butler, A. C., Hokanson, J. E., & Flynn, H. A. (1994). A comparison of self-esteem lability and low trait self-esteem as vulnerability factors for depression. Journal of Personality and Social Psychology, 66, 166-177.
6. Cattell, R. B. (1957). Personality and motivation structure and measurement. New York: World Book Co.
7. Eizenman, D. R., Nesselroade, J. R., Featherman, D. L., & Rowe, J. W. (1997). Intra-individual variability in perceived control in an elderly sample: The MacArthur Successful Aging Studies. Psychology and Aging, 12, 489-502.
8. Ekstrom, R. B., French, J. W., Harman, H. H., & Derrnan, D. (1976). Manual for the kit of factor-referenced cognitive tests. Princeton, NJ: Educational Testing Service.
9. Fiske, D. W., & Rice, L. (1955). Intra-individual response variability. Psychological Bulletin, 52, 217-250.
10. Gulliksen, H. (1950). Theory of mental tests. New York: Wiley.
11. Hamaker, E. L., Dolan, C. V., & Molenaar, P. (2003). Statistical modeling of the individual: Rational and application of multivariate time series analysis. Unpublished manuscript, University of Amsterdam, Department of Psychology.
12. Hertzog, C., Dixon, R. A., & Hultsch, D. F. (1992). Intraindividual change in text recall of the elderly. Brain and Language, 42, 248-269.
13. Hultsch, D. F., Hertzog, C., Dixon, R. A., & Small, B. J. (1998). Memory change in the aged. Cambridge, England: Cambridge University Press.
14. Hultsch, D. F., & MacDonald, S. W. (in press). Intraindividual variability in performance as a theoretical window onto cognitive aging. In R. A. Dixon, L.-G. Nilsson, & L. Blackman (Eds.), Newfrontiers in cognitive aging. New York: Oxford University Press.
15. Kraemer, H. C., & Korner, A. F. (1976). Statistical alternatives in assessing reliability, consistency, and individual differences for quantitative measures of neonates. Psychological Bulletin, 83, 914-921.
16. Li, S.-C., Aggen, S. H., Nesselroade, J. R., & Baltes, P. B. (2001). Short-term fluctuations in elderly people's sensorimotor functioning predict text and spatial memory performance: The MacArthur Successful Aging Studies. Gerontology, 47, 100-116.
17. McArdle, J. J. (1982). Structural equation modeling of an individual system: Preliminary results from "a case study in episodic alcoholism." Unpublished manuscript, University of Denver, Department of Psychology.
18. McArdle, J. J., & Hamagami, F. (2001). Latent difference score structural models for linear dynamic analysis with incomplete longitudinal data. In L. Collins & A. Sayer (Eds.), New methods for the analysis of change (pp. 139-175). Washington, DC: American Psychological Association.
19. Molenaar, P. C. M. (1985). A dynamic factor model for the analysis of multivariate time series. Psychometrika, 50, 181-202.
20. Moskowitz, D. S., & Hershberger, S. L. (Eds.). (2002). Modeling intraindividual variability with repeated measures data. Mahwah, NJ: Erlbaum.
21. Nesselroade, J. R. (1991). The warp and woof of the developmental fabric. In R. Downs, L. Liben, & D. Palermo (Eds.), Visions of development, the environment, and aesthetics: The legacy of Joachim F. Wohlwill (pp. 213-240). Hillsdale, NJ: Erlbaum.
22. Nesselroade, J. R. (2002). Elaborating the different in differential psychology. Multivariate Behavioral Research, 37, 543-561.
23. Nesselroade, J. R., & Molenaar, P. C. M. (1999). Pooling lagged covariance structures based on short, multivariate time-series for dynamic factor analysis. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 223-250). Newbury Park, CA: Sage.
24. Noll, J. G., & Horn, J. L. (1998). Age differences in processes of fluid and crystallized intelligence. In J. J. McArdle & R. W. Woodcock (Eds.), Human cognitive abilities in theory and practice (pp. 263-281). Mahwah, NJ: Erlbaum.
25. Rabbitt, P., Osman, P., Moore, B., & Stollery, B. (2001). There are stable individual differences in performance variability, both from moment to moment and day to day. Quarterly Journal of Experimental Psychology, 54A, 981-1003.
26. Raven, J. (1962). Advanced progressive matrices. Set ii. London: H. K. Lewis.
27. Rowe, J. W., & Kahn, R. L. (1987). Human aging: Usual and successful. Science, 237, 143-149.
28. Salthouse, T. A., Berish, D. E., & Miles, J. D. (2002). The role of cognitive stimulation on the relations between age and cognitive functioning. Psychology and Aging, 17, 548-557.
29. Salthouse, T. A., & Ferrer-Caja, E. (2003). What needs to be explained to account for age-related effects on multiple cognitive variables? Psychology and Aging, 18, 91-110.
30. Salthouse, T. A., Kausler, D. H., & Saults, J. S. (1986). Groups versus individuals as the comparison unit in cognitive aging research. Developmental Neuropsychology, 2, 363-372.
31. Salthouse, T. A., & Miles, J. D. (2002). Aging and time-sharing aspects of executive control. Memory & Cognition, 30, 572-582.
32. Salthouse, T. A., Toth, J., Daniels, K., Parks, C., Pak, R., Wolbrette, M., et al. (2000). Effects of aging on the efficiency of task switching in a variant of the Trail Making Test. Neuropsychology, 14, 102-111.
33. Shammi, P., Bosman, E., & Stuss, D. T. (1998). Aging and variability in performance. Aging, Neuropsychology, and Cognition, 5, 1-13.
34. Siegler, R. S. (1994). Cognitive variability: A key to understanding cognitive development. Current Directions in Psychological Science, 3, 1-5.
35. Thouless, R. H. (1936). Test unreliability and function fluctuation. British Journal of Psychology, 26, 325-343.
36. Wechsler, D. (1997a). Wechsler Adult Intelligence Scale (3rd ed.). San Antonio, TX: The Psychological Corporation.
37. Wechsler, D. (1997b). Wechsler Memory Scale (3rd ed.). San Antonio, TX: The Psychological Corporation.
38. West, S. G., & Hepworth, J. T. (1991). Statistical issues in the study of temporal data: Daily experiences. Journal of Personality, 9, 609-662.
39. Woodcock, R. W., & Johnson, M. B. (1990). WJ-R tests of cognitive ability. Allen, TX: DLM Teaching Resources.
40. Woodrow, H. (1932). Quotidian variability. Psychological Review, 39, 245-256.
41. Yaffe, K., Browner, W., Cauley, J., Launer, L., & Harris, T. (1999). Association between bone mineral density and cognitive decline in older women. Journal of the American Geriatrics Society, 47, 1176-1182.