Adult age differences in categorization and multiple-cue judgment

Developmental Psychology

Volumn 48, Issue 4, 2012, Pages 1188-1201

  Mata, Rui ^a   von Helversen, Bettina ^b   Karlsson, Linnea ^c   Cüpper, Lutz ^d  

^a Fakultät für Psychologie Missionsstr   (Switzerland)

^b MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

^c UMEÅ UNIVERSITY   (Sweden)

^d RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Aging; Categorization; Exemplar model; Multiple cue judgment; Recognition memory

Indexed keywords

ADULT; AGE; AGED; AGING; ANALYSIS OF VARIANCE; ARTICLE; ASSOCIATION; CONCEPT FORMATION; DECISION MAKING; FEMALE; HUMAN; MALE; MIDDLE AGED; NEUROPSYCHOLOGICAL TEST; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; PSYCHOLOGICAL ASPECT; PSYCHOLOGICAL MODEL; RECOGNITION;

ADULT; AGE FACTORS; AGED; AGING; ANALYSIS OF VARIANCE; CONCEPT FORMATION; CUES; DISCRIMINATION (PSYCHOLOGY); FEMALE; HUMANS; JUDGMENT; MALE; MIDDLE AGED; MODELS, PSYCHOLOGICAL; NEUROPSYCHOLOGICAL TESTS; RECOGNITION (PSYCHOLOGY); YOUNG ADULT;

EID: 84871904039     PISSN: 00121649     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0026084     Document Type: Article

References (42)

1. Ashby, F. G., Noble, S., Filoteo, V., Waldron, E., & Ell, S. W. (2003). Category learning deficits in Parkinson's disease. Neuropsychology, 17, 115-124. doi:10.1037/0894-4105.17.1.115
2. Baltes, P. B. (1997). On the incomplete architecture of human ontogeny: Selection, optimization, and compensation as foundation of developmental theory. American Psychologist, 52, 366-380. doi:10.1037/0003-066X.52.4.366
3. Blanchard-Fields, F. (2007). Everyday problem solving and emotion: An adult developmental perspective. Current Directions in Psychological Science, 16, 26-31. doi:10.1111/j.1467-8721.2007.00469.x
4. Chasseigne, G., Ligneau, C., Grau, S., Lafon, P., Le Gall, A., Roque, M., & Mullet, E. (2004). Aging and probabilistic learning in single-and multiple-cue tasks. Experimental Aging Research, 30, 23-45. doi: 10.1080/03610730490251469
5. Christie, A. (1934). Murder on the Orient Express. London, England: Collins Crime Club.
6. Christie, A. (1957). 4:50 from Paddington. London, England: Collins Crime Club.
7. DeCaro, M. S., Carlson, K. D., Thomas, R. D., & Beilock, S. L. (2009). When and how less is more: Reply to Tharp & Pickering. Cognition, 111, 415-421. doi:10.1016/j.cognition.2009.03.001
8. DeLosh, E. L., Busemeyer, J. R., & McDaniel, M. A. (1997). Extrapolation: The sine qua non for abstraction in function learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 968-986. doi:10.1037/0278-7393.23.4.968
9. Dunlosky, J., & Hertzog, C. (1998). Aging and deficits in associative memory: What is the role of strategy production?. Psychology and Aging, 13, 597-607. doi:10.1037/0882-7974.13.4.597
10. Einhorn, H. J., Kleinmuntz, D. N., & Kleinmuntz, B. (1979). Linear regression and process-tracing models of judgment. Psychological Review, 86, 465-485. doi:10.1037/0033-295X.86.5.465
11. Erickson, M. A., & Kruschke, J. K. (1998). Rules and exemplars in category learning. Journal of Experimental Psychology: General, 127, 107-140. doi:10.1037/0096-3445.127.2.107
12. Filoteo, J. V., & Maddox, W. T. (2004). A quantitative model-based approach to examining aging effects on information-integration category learning. Psychology and Aging, 19, 171-182. doi:10.1037/0882-7974.19.1.171
13. Fleischman, D. A., Wilson, R. S., Gabrieli, J. D. E., Bienias, J. L., & Bennett, D. A. (2004). A longitudinal study of implicit and explicit memory in old persons. Psychology and Aging, 19, 617-625. doi: 10.1037/0882-7974.19.4.617
14. Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19, 25-42. doi:10.1257/089533005775196732
15. Hahn, U., & Chater, N. (1998). Similarity and rules: Distinct? Exhaustive? Empirically distinguishable? Cognition, 65, 197-230. doi:10.1016/S0010-0277(97)00044-9
16. Heit, E. (1997). Knowledge and concept learning. In K. Lamberts & D. R. Shanks (Eds.), Knowledge, concepts, and categories (pp. 7-41). Hove, England: Psychology Press.
17. Hess, T. M., Leclerc, C. M., Swaim, E., & Weatherbee, S. R. (2009). Aging and everyday judgments: The impact of motivational and processing resource factors. Psychology and Aging, 24, 735-740. doi:10.1037/a0016340
18. Hofer, S. M., & Sliwinski, M. J. (2001). Understanding ageing: An evaluation of research designs for assessing the interdependence of ageingrelated changes. Gerontology, 47, 341-352. doi:10.1159/000052825
19. Howard, D. V., Howard, J. H., Jr., Dennis, N. A., LaVine, S., & Valentino, K. (2008). Aging and implicit learning of an invariant association. The Journals of Gerontology, Series B: Psychological Sciences, 63, P100-P105.
20. Howard, J. H., Jr., Howard, D. V., Dennis, N. A., & Kelly, A. J. (2008). Implicit learning of predictive relationships in three-element visual sequences by young and old adults. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 1139-1157. doi:10.1037/a0012797
21. Jennings, J. M., & Jacoby, L. L. (1993). Automatic versus intentional uses of memory: Aging, attention, and control. Psychology and Aging, 8, 283-293. doi:10.1037/0882-7974.8.2.283
22. Juslin, P., Olsson, H., & Olsson, A.-C. (2003). Exemplar effects in categorization and multiple-cue judgment. Journal of Experimental Psychology: General, 132, 133-156. doi:10.1037/0096-3445.132.1.133
23. Juslin, P. Karlsson, L., & Olsson, H. (2008). Information integration in multiple-cue judgment: A division of labor hypothesis. Cognition, 106, 259-298. doi:10.1016/j.cognition.2007.02.003
24. Karlsson, L., Juslin, P., & Olsson, H. (2007). Adaptive changes between cue abstraction and exemplar memory in a multiple-cue judgment task with continuous cues. Psychonomic Bulletin & Review, 14, 1140-1146. doi:10.3758/BF03193103
25. Koenig, P., Smith, E. E., Glosser, G., DeVita, C., Moore, P., & McMillan, C.,... Grossman, M. (2005). The neural basis for novel semantic categorization, NeuroImage, 24, 369-383. doi:10.1016/j.neuroimage.2004.08.045
26. Lehrl, S. (1999). Mehrfachwahl-Wortschatz-Intelligenztest: Manual mit Block MWT-B [Multiple-choice vocabulary intelligence test]. Balingen, Germany: Spitta.
27. Lemaire, P., & Siegler, R. S. (1995). Four aspects of strategic change: Contributions to children's learning of multiplication. Journal of Experimental Psychology: General, 124, 83-97. doi:10.1037/0096-3445.124.1.83
28. Macmillan, N. A., & Creelman, C. D. (2005). Detection theory: A user's guide. Mahwah, NJ: Erlbaum.
29. Mata, R., Schooler, L., & Rieskamp, J. (2007). The aging decision maker: Cognitive aging and the adaptive selection of decision strategies. Psychology and Aging, 22, 796-810. doi:10.1037/0882-7974.22.4.796
30. Mata, R., von Helversen, B., & Rieskamp, J. (2010). Learning to choose: Cognitive aging and strategy selection learning. Psychology and Aging, 25, 299-309. doi:10.1037/a0018923
31. Medin, D. L., & Schaffer, M. M. (1978). Context theory of classification learning. Psychological Review, 85, 207-238. doi:10.1037/0033-295X.85.3.207
32. Newell, B. R., Weston, N. J., Tunney, R. J., & Shanks, D. R. (2009). The effectiveness of feedback in multiple-cue probability learning. The Quarterly Journal of Experimental Psychology, 62, 890-908. doi: 10.1080/17470210802351411
33. Nosofsky, R. M. (1984). Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 104-114. doi:10.1037/0278-7393.10.1.104
34. Nosofsky, R. M., & Johansen, M. K. (2000). Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization. Psychonomic Bulletin & Review, 7, 375-402.
35. Oechssler, J., Roider, A., & Schmitz, P. W. (2009). Cognitive abilities and behavioral biases. Journal of Economic Behavior & Organization, 72, 147-152. doi:10.1016/j.jebo.2009.04.018
36. Racine, C. A., Barch, D. M., Braver, T. S., & Noelle, D. C. (2006). The effect of age on rule-based category learning. Aging, Neuropsychology, and Cognition, 13, 411-434. doi:10.1080/13825580600574377
37. Thornton, W. J. L., & Dumke, H. (2005). Age differences in everyday problem solving and decision making effectiveness: A meta-analytic review. Psychology and Aging, 20, 85-99. doi:10.1037/0882-7974.20.1.85
38. Touron, D. R., & Hertzog, C. (2004). Distinguishing age differences in knowledge, strategy use, and confidence during strategic skill acquisition. Psychology and Aging, 19, 452-466. doi:10.1037/0882-7974.19.3.452
39. Touron, D. R., & Hertzog, C. (2009). Age differences in strategic behavior during a computation-based skill acquisition task. Psychology and Aging, 24, 574-585. doi:10.1037/a0015966
40. von Helversen, B., Mata, R., & Olsson, H. (2010). Do children profit from looking beyond looks? From similarity-based to cue-abstraction processes in multiple-cue judgment. Developmental Psychology, 46, 220-229. doi:10.1037/a0016690
41. Wechsler, D. (1981). Wechsler Adult Intelligence Scale-Revised: Manual. New York, NY: Psychological Corp.
42. Wood, S., Busemeyer, J., Koling, A., Cox, C. R., & Davis, H. (2005). Older adults as adaptive decision makers: Evidence from the Iowa gambling task. Psychology and Aging, 20, 220-225. doi:10.1037/0882-7974.20.2.220