Age-related differences in diffusion model boundary optimality with both trial-limited and time-limited tasks

Psychonomic Bulletin and Review

Volumn 19, Issue 1, 2012, Pages 139-145

  Starns, Jeffrey J ^a   Ratcliff, Roger ^b  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Aging; Decision making; Response time models

Indexed keywords

EID: 84856154931     PISSN: 10699384     EISSN: 15315320     Source Type: Journal    
DOI: 10.3758/s13423-011-0189-3     Document Type: Article

References (27)

1. Balci, F., Simen, P., Niyogi, R., Saxe, A., Hughes, J., Holmes, P., & Cohen, J. D. (2011). Acquisition of decision making criteria: Reward rate ultimately beats accuracy. Attention, Perception, & Psychophysics, 73, 640-657.
2. Baron, A., & Matilla, W. R. (1989). Response-slowing of older adults: Effects of time-limit contingencies on single- and dual-task performances. Psychology and Aging, 4, 66-72.
3. Bogacz, R., Brown, E., Moehlis, J., Holmes, P., & Cohen, J. D. (2006). The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks. Psychological Review, 113, 700-765.
4. Bogacz, R., Hu, P. T., Holmes, P., & Cohen, J. D. (2010). Do humans produce the speed-accuracy tradeoff that maximizes reward rate? Quarterly Journal of Experimental Psychology, 63, 863-891.
5. Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-mental state: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189-198.
6. Forstmann, B. U., Schäfer, A., Anwander, A., Neumann, J., Brown, S. D., Wagenmakers, E.-J.,... Turner, R. (2010). Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proceedings of the National Academy of Science, 107, 15916-15920.
7. Gold, J. I., & Shadlen, M. N. (2002). Banburismus and the brain: Decoding the relationship between sensory stimuli, decisions, and reward. Neuron, 36, 299-308.
8. Hawkins, G., Brown, S. D., Steyvers, M., & Wagenmakers, E.-J. (in press). Context effects in multi-alternative decision making: Empirical data and a Bayesian model. Cognitive Science.
9. Myerson, J., Hale, S., Wagstaff, D., Poon, L. W., & Smith, G. A. (1990). The information-loss model: A mathematical theory of age related cognitive slowing. Psychological Review, 97, 475-487.
10. Rabbitt, P. (1979). How old and young subjects monitor and control responses for accuracy and speed. British Journal of Psychology, 70, 305-311.
11. Ratcliff, R., Thapar, A., Gomez, P., & McKoon, G. (2004). A diffusion model analysis of the effects of aging in the lexical-decision task. Psychology and Aging, 19, 278-289.
12. Ratcliff, R., Thapar, A., & McKoon, G. (2001). The effects of aging on reaction time in a signal detection task. Psychology and Aging, 16, 323-341.
13. Ratcliff, R., Thapar, A., & McKoon, G. (2003). A diffusion model analysis of the effects of aging on brightness discrimination. Perception & Psychophysics, 65, 523-535.
14. Ratcliff, R., Thapar, A., & McKoon, G. (2004). A diffusion model analysis of the effects of aging on recognition memory. Journal of Memory and Language, 50, 408-424.
15. Ratcliff, R., Thapar, A., & McKoon, G. (2006). Aging, practice, and perceptual tasks: A diffusion model analysis. Psychology and Aging, 21, 353-371.
16. Ratcliff, R., Thapar, A., & McKoon, G. (2010). Individual differences, aging, and IQ in two-choice tasks. Cognitive Psychology, 60, 127-157.
17. Ratcliff, R., Thapar, A., & McKoon, G. (2011). Effects of aging and IQ on item and associative memory. Journal of Experimental Psychology: General, 140, 464-487.
18. 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.
19. Rogers, W. A., Hertzog, C., & Fisk, A. D. (2000). An individual differences analysis of ability and strategy influences: Age-related differences in associative learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 359-394.
20. Salthouse, T. A., & Somberg, B. L. (1982). Isolating the age deficit in speeded performance. Journal of Gerontology, 37, 59-63.
21. Simen, P., Contreras, D., Buck, C., Hu, P., Holmes, P., & Cohen, J. D. (2009). Reward-rate optimization in two-alternative decision making: Empirical tests of theoretical predictions. Journal of Experimental Psychology: Human Perception and Performance, 35, 1865-1897.
22. Smith, G. A., & Brewer, N. (1995). Slowness and age: Speed-accuracy mechanisms. Psychology and Aging, 10, 238-247.
23. Starns, J. J., & Ratcliff, R. (2010). The effects of aging on the speed-accuracy compromise: Boundary optimality in the diffusion model. Psychology and Aging, 25, 377-390.
24. Thapar, A., Ratcliff, R., & McKoon, G. (2003). A diffusion model analysis of the effects of aging on letter discrimination. Psychology and Aging, 18, 415-429.
25. Touron, D. R., Hoyer, W. J., & Cerella, J. (2004). Cognitive skill learning: Age-related differences in strategy shifts and speed of component operations. Psychology and Aging, 19, 565-580.
26. Wechsler, D. (1997). The Wechsler Adult Intelligence Scale-Third edition. San Antonio, TX: Psychological Corporation.
27. White, A. S., Cerella, J., & Hoyer, W. J. (2007). Strategy transitions during cognitive skill learning in younger and older adults: Effects of interitem confusability. Memory & Cognition, 35, 2106-2117.