Abstract
The effects of aging on performance were examined in signal detection, letter discrimination, brightness discrimination, and recognition memory, with each subject tested on all four tasks. Ratcliff’s (1978) diffusion model was fit to the data for each subject for each task, and it provided a good account of accuracy and the distributions of correct and error response times. The model’s analysis of the components of processing showed that aging had three main effects: The nondecision components of processing were slower and the decision criteria were more conservative for 60- to 74-year-old and 75- to 85-year-old subjects than for college students, but the quality of the evidence on which decisions were based was as good for the older subjects as for college students on some of the tasks. Individual differences among subjects in components of processing tended to be preserved across the tasks, as was shown by strong correlations across the tasks in the parameters of the model that represent the components of processing. For example, if the evidence on which a subject’s decisions were based was good in one task, it tended to be good in all four tasks.
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Brinley, J. F. (1965). Cognitive sets, speed and accuracy of performance in the elderly. In A. T. Welford & J. E. Birren (Eds.),Behavior, aging, and the nervous system: Biological determinants of speed of behavior and its changes with age (pp. 114–149). Springfield, IL: Thomas.
Cerella, J. (1994). Generalized slowing in Brinley plots.Journals of Gerontology,49B, P65-P71.
Fisher, D. L., &Glaser, R. A. (1996). Molar and latent models of cognitive slowing: Implications for aging, dementia, depression, development, and intelligence.Psychonomic Bulletin & Review,3, 458–480.
Fisk, A. D., &Fisher, D. L. (1994). Brinley plots and theories of aging: The explicit, muddled, and implicit debates.Journals of Gerontology,49B, P81-P89.
Folstein, M. F., Folstein, S. E., &McHugh, P. R. (1975). Minimental state: A practical method for grading the cognitive state of patients for the clinician.Journal of Psychiatric Research,12, 189–198.
Hertzog, C. (1992). Aging, information processing, and intelligence. In K. W. Schaie (Ed.),Annual review of gerontology and geriatrics (Vol. 11, pp. 55–79). New York: Springer.
Myerson, J., Wagstaff, D., &Hale, S. (1994). Brinley plots, explained variance, and the analysis of age differences in response latencies.Journals of Gerontology,49B, P72-P80.
Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population.Applied Psychological Measurement,1, 385–401.
Ratcliff, R. (1978). A theory of memory retrieval.Psychological Review,85, 59–108.
Ratcliff, R. (1988). Continuous versus discrete information processing: Modeling the accumulation of partial information.Psychological Review,95, 238–255.
Ratcliff, R. (2002). A diffusion model account of response time and accuracy in a brightness discrimination task: Fitting real data and failing to fit fake but plausible data.Psychonomic Bulletin & Review,9, 278–291.
Ratcliff, R., &Rouder, J. F. (1998). Modeling response times for twochoice decisions.Psychological Science,9, 347–356.
Ratcliff, R., &Rouder, J. F. (2000). A diffusion model account of masking in two-choice letter identification.Journal of Experimental Psychology: Human Perception & Performance,26, 127–140.
Ratcliff, R., &Smith, P. L. (2004). A comparison of sequential sampling models for two-choice reaction time.Psychological Review,111, 333–367.
Ratcliff, R., Spieler, D., &McKoon, G. (2000). Explicitly modeling the effects of aging on response time.Psychonomic Bulletin & Review,7, 1–25.
Ratcliff, R., Thapar, A., Gomez, P., &McKoon, G. (2004). A diffusion model analysis of the effects of aging in the lexical-decision task.Psychology & Aging,19, 278–289.
Ratcliff, R., Thapar, A., &McKoon, G. (2001). The effects of aging on reaction time in a signal detection task.Psychology & Aging,16, 323–341.
Ratcliff, R., Thapar, A., &McKoon, G. (2003). A diffusion model analysis of the effects of aging on brightness discrimination.Perception & Psychophysics,65, 523–535.
Ratcliff, R., Thapar, A., &McKoon, G. (2004). A diffusion model analysis of the effects of aging on recognition memory.Journal of Memory & Language,50, 408–424.
Ratcliff, R., Thapar, A., & McKoon, G. (in press). Applying the diffusion model to data from 75–90 year old subjects in five experimental tasks.Psychology & Aging.
Ratcliff, R., Thapar, A., Smith, P. L., &McKoon, G. (2005). Ageing and response times: A comparison of sequential sampling models. In J. Duncan, L. Phillips, & P. McLeod (Eds.),Measuring the mind: Speed, control, and age (pp. 3–32). Oxford: Oxford University Press.
Ratcliff, R., &Tuerlinckx, F. (2002). Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability.Psychonomic Bulletin & Review,9, 438–481.
Ratcliff, R., Van Zandt, T., &McKoon, G. (1999). Connectionist and diffusion models of reaction time.Psychological Review,106, 261–300.
Spear, P. D. (1993). Neural bases of visual deficits during aging.Vision Research,33, 2589–2609.
Thapar, A., Ratcliff, R., &McKoon, G. (2003). A diffusion model analysis of the effects of aging on letter discrimination.Psychology & Aging,18, 415–429.
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Preparation of this article was supported by NIA Grant AG17083, NIMH Grants HD MH44640 and MH01891, and NIDCD Grant R01-DC01240.
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Ratcliff, R., Thapar, A. & McKoon, G. Aging and individual differences in rapid two-choice decisions. Psychonomic Bulletin & Review 13, 626–635 (2006). https://doi.org/10.3758/BF03193973
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DOI: https://doi.org/10.3758/BF03193973