A test of the regulatory fit hypothesis in perceptual classification learning

Memory and Cognition

Volumn 34, Issue 7, 2006, Pages 1377-1397

  Maddox, W Todd ^a   Baldwin, Grant C ^a   Markman, Arthur B ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COGNITION; HUMAN; HUMAN EXPERIMENT; HYPOTHESIS; LEARNING; MOTIVATION; NORMAL HUMAN; PERCEPTION; REGULATORY MECHANISM; REWARD;

EID: 33846222888     PISSN: 0090502X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03195904     Document Type: Article

References (49)

1. AARTS, H., GOLLWITZER, P. M., & HASSIN, R. R. (2004). Goal contagion: Perceiving is for pursuing. Journal of Personality & Social Psychology, 87, 23-37.
2. AKAIKE, H. (1974). A new look at the statistical model identification. Transactions on Automatic Control, 19, 716-723.
3. AMODIO, D. M., SHAH, J. Y., SIGELMAN, J., BRAZY, P. C., & HARMON-JONES, E. (2004). Implicit regulatory focus associated with asymmetrical frontal cortical activity. Journal of Experimental Social Psychology, 40, 225-232.
4. ASHBY, F. G. (1992). Multidimensional models of categorization. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition (pp. 449-483). Hillsdale, NJ: Erlbaum.
5. ASHBY, F. G., ALFONSO-REESE, L. A., TURKEN, A. U., & WALDRON, E. M. (1998). A neuropsychological theory of multiple systems in category learning. Psychological Review, 105, 442-481.
6. ASHBY, F. G., ISEN, A. M., & TURKEN, A. U. (1999). A neuropsychological theory of positive affect and its influence on cognition. Psychological Review, 106, 529-550.
7. ASHBY, F. G., & MADDOX, W. T. (1993). Relations between prototype, exemplar, and decision bound models of categorization. Journal of Mathematical Psychology, 37, 372-400.
8. ASHBY, F. G., & MADDOX, W. T. (2005). Human category learning. Annual Review of Psychology, 56, 149-178.
9. ASHBY, F. G., MADDOX, W. T., & LEE, W. W. (1994). On the dangers of averaging across subjects when using multidimensional scaling or the similarity-choice model. Psychological Science, 5, 144-151.
10. ASHBY, F. G., & VALENTIN, V. V. (2005). The theory of perceptual category learning. In H. Cohen & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 560-572). New York: Elsevier.
11. ASHBY, F. G., & WALDRON, E. M. (1999). On the nature of implicit categorization. Psychonomic Bulletin & Review, 6, 363-378.
12. AVNET, T., & HIGGINS, E. T. (2003). Locomotion, assessment, and regulatory fit: Value transfer from "how" to "what." Journal of Experimental Social Psychology, 39, 525-530.
13. CARVER, C. S., & SCHEIER, M. F. (1998). On the self-regulation of behavior. New York: Cambridge University Press.
14. CROWE, E., & HIGGINS, E. T. (1997). Regulatory focus and strategic inclinations: Promotion and prevention in decision-making. Organizational Behavior & Human Decision Processes, 69, 117-132.
15. CUNNINGHAM, W. A., RAYE, C. L., & JOHNSON, M. K. (2005). Neural correlates of evaluation associated with promotion and prevention regulatory focus. Cognitive, Affective, & Behavioral Neuroscience, 5, 202-211.
16. ERICKSON, M. A., & KRUSCHKE, J. K. (1998). Rules and exemplars in category learning. Journal of Experimental Psychology: General, 127, 107-140.
17. ESTES, W. K. (1956). The problem of inference from curves based on group data. Psychological Bulletin, 53, 134-140.
18. FERGUSON, M. J., & BARGH, J. A. (2004). Liking is for doing: The effects of goal pursuit on automatic evaluation. Journal of Personality & Social Psychology, 87, 557-572.
19. FISHBACH, A., FRIEDMAN, R. S., & KRUGLANSKI, A. W. (2003). Leading us not unto temptation: Momentary allurements elicit overriding goal activation. Journal of Personality & Social Psychology, 84, 296-309.
20. GRAY, J. A. (1982). The neuropsychology of anxiety: An enquiry into the functions of the septo-hippocampal system. Oxford: Oxford University Press.
21. HIGGINS, E. T. (1987). Self-discrepancy: A theory relating self and affect. Psychological Review, 94, 319-340.
22. HIGGINS, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52, 1280-1300.
23. HIGGINS, E. T. (2000). Making a good decision: Value from fit. American Psychologist, 55, 1217-1230.
24. HIGGINS, E. T., CHEN IDSON, L., FREITAS, A. L., SPIEGEL, S., & MOLDEN, D. C. (2003). Transfer of value from fit. Journal of Personality & Social Psychology, 84, 1140-1153.
25. KAHNEMAN, D., & TVERSKY, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263-291.
26. KÉRI, S. (2003). The cognitive neuroscience of category learning. Brain Research Reviews, 43, 85-109.
27. LEE, A. Y., & AAKER, J. L. (2004). Bringing the frame into focus: The influence of regulatory fit on processing fluency and persuasion. Journal of Personality & Social Psychology, 86, 205-218.
28. LEWIN, K. (1935). A dynamic theory of personality. New York: McGraw-Hill.
29. MADDOX, W. T. (1999). On the dangers of averaging across observers when comparing decision bound models and generalized context models of categorization. Perception & Psychophysics, 61, 354-375.
30. MADDOX, W. T. (2002). Toward a unified theory of decision criterion learning in perceptual categorization. Journal of the Experimental Analysis of Behavior, 78, 567-595.
31. MADDOX, W. T., & ASHBY, F. G. (1993). Comparing decision bound and exemplar models of categorization. Perception & Psychophysics, 53, 49-70.
32. MADDOX, W. T., & ASHBY, F. G. (2004). Dissociating explicit and procedural-learning based systems of perceptual category learning. Behavioural Processes, 66, 309-332.
33. MADDOX, W. T., & ESTES, W. K. (2004). Predicting true patterns of cognitive performance from noisy data. Psychonomic Bulletin & Review, 11, 1129-1135.
34. MADDOX, W. T., MARKMAN, A. B., & BALDWIN, G. C. (2006). Using classification to understand the motivation-learning interface. In B. H. Ross & A. B. Markman (Eds.), The psychology of learning and motivation (Vol. 47, pp. 213-249). New York: Elsevier.
35. MARKMAN, A. B., BALDWIN, G. C., & MADDOX, W. T. (2005). The interaction of payoff structure and regulatory focus in classification. Psychological Science, 16, 852-855.
36. MARKMAN, A. B., & BRENDL, C. M. (1999). The influence of goals on value and choice. In D. L. Medin (Ed.), The psychology of learning and motivation (Vol. 39, pp. 97-129). San Diego: Academic Press.
37. MARKMAN, A. B., MADDOX, W. T., WORTHY, D. A., & BALDWIN, G. C. (in press). Using regulatory focus to explore implicit and explicit processing. Journal of Consciousness Studies.
38. MEDNICK, M. T., MEDNICK, S. A., & MEDNICK, E. V. (1964). Incubation of creative performance and specific associative priming. Journal of Abnormal & Social Psychology, 69, 84-88.
39. MILLER, N. E. (1959). Liberalization of basic S-R concepts: Extensions to conflict behavior, motivation, and social learning. In S. Koch (Ed.), Psychology: A study of a science. General and systematic formulations, learning, and special processes (pp. 196-292). New York: McGraw-Hill.
40. MYUNG, I. J. (2000). The importance of complexity in model selection. Journal of Mathematical Psychology, 44, 190-204.
41. PITT, M. A., MYUNG, I. J., & ZHANG, S. (2002). Toward a method of selecting among computational models of cognition. Psychological Review, 109, 472-491.
42. POLDRACK, R. A., & PACKARD, M. G. (2003). Competition among multiple memory systems: Converging evidence from animal and human brain studies. Neuropsychologia, 41, 245-251.
43. SCHACTER, D. L. (1987). Implicit memory: History and current status. Journal of Experimental Psychology: Learning, Memory, & Cognition, 13, 501-518.
44. SHAH, J., & HIGGINS, E. T. (1997). Expectancy × value effects: Regulatory focus as determinant of magnitude and direction. Journal of Personality & Social Psychology, 73, 447-458.
45. SHAH, J., HIGGINS, E. T., & FRIEDMAN, R. S. (1998). Performance incentives and means: How regulatory focus influences goal attainment. Journal of Personality & Social Psychology, 74, 285-293.
46. SMITH, J. D., & MINDA, J. P. (1998). Prototypes in the mist: The early epochs of category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 24, 1411-1436.
47. SQUIRE, L. R. (1992). Memory and the hippocampus: A synthesis from findings with rats, monkeys and humans. Psychological Review, 99, 195-231.
48. TAKANE, Y., & SHIBAYAMA, T. (1992). Structure in stimulus identification data. Hillsdale, NJ: Erlbaum.
49. WICKENS, T. D. (1982). Models for behavior: Stochastic processes in psychology. San Francisco: Freeman. 1398-1413