Evaluating theories

Critical Thinking in Psychology

Volumn , Issue , 2006, Pages 143-159

  Dennis, Simon ^a   Kintsch, Walter ^b  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79957627883     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511804632.010     Document Type: Chapter

References (45)

1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrox & F. Caski (Eds.), Second international symposium on information theory (pp. 267-281). Budapest, Hungary: Akad´emiai Kiad´o.
2. Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Erlbaum.
3. Anderson, J. R., & Lebiere, C. (1998). The atomic components of thought. Mahwah, NJ: Erlbaum.
4. Anderson, J. R., & Schooler, L. J. (1991). Reflections of the environment in memory. Psychological Science, 2, 396-408.
5. Bozdogan, H. (1990). On the information-based measure of covariance complexity and its application to the evaluation of multivariate linear models. Communications in Statistics: Theory and Methods, 19, 221-278.
6. Broadbent, D. (1987). Simple models for experimental situations. In P. Morris (Ed.), Modeling cognition (pp. 169-185). London: Wiley.
7. Brown, S. C., & Craik, F. I. M. (2000). Encoding and retrieval of information. In E. Tulving and F. I. M. Craik (Eds.), The Oxford handbook of memory (pp. 93-108). New York: Oxford University Press.
8. Bush, V. (1945). Science - The endless frontier, appendix 3. (Report of the Committee on Science and the Public Welfare). Washington, DC: U.S. Government Printing Office.
9. Cary, M., & Reder, L. M. (2003). A dual-process account of the list-length and strength-based mirror effects in recognition. Journal of Memory and Language, 49, 231-248.
10. Cohen, J. (1994). The earth is round (p <.05). American Psychologist, 49, 997-1003.
11. Dennis, S., & Humphreys, M. S. (2001). A context noise model of episodic word recognition. Psychological Review, 108, 452-477.
12. Gilbert, G., & N. Mulkay (1984). Opening Pandora’s box: A sociological analysis of scientists’ discourse. Cambridge, England: Cambridge University Press.
13. Gillund, G., & Shiffrin, R. M. (1984). A retrieval model for both recognition and recall. Psychological Review, 91, 1-67.
14. Gronlund, S. D., & Elam, L. E. (1994). List-length effect: Recognition accuracy and variance of underlying distributions. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 1355-1369.
15. Hintzman, D. L. (1984). MINERVA2: A simulation model of human memory. Behavior Research Methods, Instruments, and Computers, 16, 96-101.
16. Hintzman, D. L. (1991). Why are formal models useful in psychology? In W. E. Hockley and S. Lewandowsky (Eds.), Relating theory and data: Essays on human memory in honor of Bennet B. Murdock (pp. 39-56). Hillsdale, NJ: Erlbaum.
17. Humphreys, M. S., Bain, J. D., & Pike, R. (1989). Different ways to cue a coherent memory system: A theory for episodic, semantic and procedural tasks. Psychological Review, 96, 208-233.
18. Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90, 773-795.
19. Kintsch, W. (1977). Memory and Cognition. New York: Wiley.
20. Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York: Cambridge University Press.
21. Kuhn, T. (1962). The structure of scientific revolutions. Chicago: University of Chicago Press.
22. Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
23. Landauer, T. K., Laham, D., & Foltz, P. W. (2000). The Intelligent Essay Assessor. IEEE Intelligent Systems, 15(5), 27-31.
24. Leahey, T. H., & Harris, R J. (1985). Human learning. Englewood Cliffs, NJ: Prentice-Hall.
25. Murdock, B. B., Jr. (1982). A theory for the storage and retrieval of items and associative information. Psychological Review, 89, 609-626.
26. Myung, I. J., Balasubramanian, V., & Pitt, M. A. (2000). Counting probability distributions: Differential geometry and model selection. Proceedings of the National Academy of Sciences USA, 97, 11170-11175.
27. Myung, I. J., Kim, C., & Pitt, M. A. (2000). Towards an explanation of the power law artifact: Insights from response surface analysis. Memory & Cognition, 28, 832-840.
28. Myung, I. J., & Pitt, M. A. (1997). Applying Occam’s razor in modeling cognition: A Bayesian approach. Psychonomic Bulletin & Review, 4, 79-95.
29. Navarro, D. J., & Lee, M. D. (in press). Common and distinctive features in stimulus representation: A modified version of the contrast model. Psychonomic Bulletin & Review.
30. Navarro, D. J., Myung, I. J., Pitt, M. A., & Kim, W. (2003). Global model analysis by landscaping. In R. Alterman & D. Kirsh (Eds.), Proceedings of the 25th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.
31. Newell, A. (1973). You can’t play twenty questions with nature and win. InW. C. Chase (Ed.), Visual information processing (pp. 283-308). New York: Academic Press.
32. Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.
33. Pitt, M. A., & Myung, I. J. (2002). When a good fit can be bad. Trends in Cognitive Sciences, 6, 421-425.
34. Pitt, M. A., Myung, I. J., & Zhang, S. (2002). Towards a method of selecting amoung computational models of cognition. Psychological Review, 109, 472-491.
35. Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.
36. Ratcliff, R., Clarke, S., & Shiffrin, R. (1990). The list strength effect: I. Data and discussion. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 163-178.
37. Rescorla, R. A. (1970). Reduction in the effectiveness of reinforcement after prior excitatory conditioning. Learning and Motivation, 1, 372-381.
38. Rissanen, J. (1996). Fisher information and stochastic complexity. IEEE Transactions in Information Theory, 42, 40-47.
39. Roberts, S., & Pashler, H. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107, 358-367.
40. Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461-464.
41. Stokes, D. E. (1997). Pasteur’s quadrant: Basic science and technological innovation. Washington, DC: Brookings Institution Press.
42. Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions (with discussion). Journal of the Royal Statistical Society Series B, 36, 111-147.
43. Wagenmakers, E. J., Ratcliff, R., Gomez, P., & Iverson, G. J. (2004). Assessing model mimicry using the parametric bootstrap. Journal of Mathematical Psychology, 48, 28-50.
44. Watkins, M. J. (1990). Mediationism and the obfuscation of memory. American Psychologist, 45, 328-335.
45. Wilkinson, L., and the Task Force on Statistical Inference APA Board of Scientific Affairs. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.