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Discovery in Cognitive Psychology: New Tools Inspire New Theories

Published online by Cambridge University Press:  26 September 2008

Gerd Gigerenzer
Gerd Gigerenzer
Affiliation:
Department of PsychologyUniversity of Chicago
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Abstract

Scientific tools—measurement and calculation instruments, techniques of inference—straddle the line between the context of discovery and the context of justification. In discovery, new scientific tools suggest new theoretical metaphors and concepts; and in justification, these tool-derived theoretical metaphors and concepts are morelikely to be accepted by the scientific community if the tools are already entrenched in scientific practice.

Techniques of statistical inference and hypothesis testing entered American psychology first as tools in the 1940s and 1950s and then as cognitive theories in the 1960s and 1970s. Not only did psychologists resists statistical metaphors of mind prior to the institutionalization of inference techniques in their own practice; the cognitive theories they ultimately developed about “the mind as intuitive statistician” still bear the telltale marks of the practical laboratory context in which the tool was used.

Type
Article
Information
Science in Context , Volume 5 , Issue 2 , Autumn 1992 , pp. 329 - 350
Copyright
Copyright © Cambridge University Press 1992

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References

Anderson, J. R. 1991. “Is Human Cognition Adaptive?’ Behavioral and Brain Sciences 14:471–517.CrossRefGoogle Scholar
Anderson, J. R., and Milson, R. 1989. “Human Memory: An Adaptive Perspective.” Psychologaical Review 96:703–19.CrossRefGoogle Scholar
Bar-Hillel, M. 1984. “Representativeness and Fallacies of Probability Judgment.” Acta Psychologica 55:91–107.CrossRefGoogle Scholar
Birnbaum, M. H. 1982. “Controversies in Psychological Measurement.” In Social Attitudes and Psychophysics, edited by Wegener, B. Hillsdale, N.J.: Erlbaum.Google Scholar
Birnbaum, M. H. 1983. “Base Rates in Bayesian Inference: Signal Detection Analysis of the Cab Problem.” American Journal of Psychology 96:85–94.CrossRefGoogle Scholar
Braithwaite, R. B. 1953. Scientjflc Explanation. Cambridge: Cambridge University Press.Google Scholar
Brehmer, B., and Joyce, C. R. B.eds. 1988. Human Judgments: The Syt View. Amsterdam: North-Holland.Google Scholar
Brunswik, E. 1934. Wahrnehmung und Gegenstandswelt. Leipzig: Deuticke.Google Scholar
Brunswik, E. 1940. “Thing Constancy as Measured by Correlation Coefficients”. Psychological Review 47:69–78.Google Scholar
Cohen, L. J. 1982. “Are People Programmed to Commit Fallacies? Further Thoughts about the Interpretation of Experimental Data on Probability Judgment”. Journal of the Theory of Social Behavior 12:251–74.CrossRefGoogle Scholar
Cronbach, L. J. 1957. “The Two Disciplines of Scientific Psychology”. American Psychologist 12:671–84.CrossRefGoogle Scholar
Danziger, K. 1987. “Statistical Method and the Historical Development of Research Practice in American Psychology”. In Kruger at al., eds., 1987, 35–47.Google Scholar
Danziger, K. 1990. Constructing the Subject: Historical Origins of Psychological Research. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Duncker, K. [1935] 1945. “on Problem Solving”. Psychological Monographs 58 (5, whole no. 270).Google Scholar
Edgington, E. E. 1974. “A New Tabulation of Statistical Procedures Used in APA Journals”. American Psychologist 29:25–26.CrossRefGoogle Scholar
Edwards, W. 1966. Nonconservative Information Processing Systems. Report 5893– 22-F, University of Michigan, Institute of Science and Technology.Google Scholar
Edwards, W., Lindman, H. and Savage, L. J. 1963. “Bayesian Statistical Inference for Psychological Research”.Psychological Review 70:193–242.CrossRefGoogle Scholar
Fisher, R. A. 1935. The Design of Experiments. Edinburgh: Oliver and Boyd.Google Scholar
Galison, P. 1987. How Experiments End.Chicago: Chicago University Press.Google Scholar
Gardner, H. 1985. The Mind's New Science.New York: Basic Books.Google Scholar
Gavin, E. A. 1972. “The Causal Issue in Empirical Psychology from Hume to the Present with Emphasis upon the Work of Michotte”. Journal of the History of the Behavioral Sciences 8:302–20.3.0.CO;2-O>CrossRefGoogle Scholar
Gigerenzer, G. 1981. Messung und Modeilbildung in der Psychologie.Munich: Reinhardt (UTB).Google Scholar
Gigerenzer, G. 1987a. “Probabilistic Thinking and the Fight against Subjectivity”. In Kruger et al., eds., 1987, 11–33.Google Scholar
Gigerenzer, G. 1987b. “Survival of the Fittest Probabilist: Brunswik, Thurstone, and the Two Disciplines of Psychology”. In Kruger et al., eds., 1987, 49–72.Google Scholar
Gigerenzer, G. 1991a. “From Tools to Theories: A Heuristic of Discovery in Cognitive Psychology”. Psychological Review 98:254–67.CrossRefGoogle Scholar
Gigerenzer, G. 1991b. “How to Make Cognitive Illusions Disappear: Beyond Heuristics and Biases”. European Review of Social Psychology 2:83–115.CrossRefGoogle Scholar
Gigerenzer, G. 1992. “The Superego, the Ego, and the Id in Statistical Reasoning”. In Methodological and Quantitative Issues in the Analysis of Psychological Data, editeds by and Keren, G. and Lewis, C. 3 11–39.Hillsdale, N.J.: Eribaum.Google Scholar
Gigerenzer, G., and Murray, D. J. 1987. Cognition as Intuitive Statistics.Hilisdale, N.J.: Erlbaum.Google Scholar
Gooding, D., Pinch, T., and Schaffer, S. 1989. “Introduction: Some Uses o. Experiment”. In The Uses of Experiment: Studies in the Natural Sciences, edited by Gooding, D., Pinch, T., and Schaffer, , 1–27.Cambridge: Cambridge Universit Press.Google Scholar
Green, D. M., and Swets, S.J. A. 1966. Signal Detection Theory and Psychophysics.New York: Wiley.Google Scholar
Gregory, R. L. 1974. Concepts and Mechanism of Perception.New York: Scribner.Google Scholar
Gregory, R. L. 1980. “The Confounded Eye”. In Illusion in Nature and Art, edited by Gregory, R. L. and Gombrich, E. H., 49–96.New York: Scribner.Google Scholar
Gruber, H. E. 1977. “The Fortunes of a Basic Darwinian Idea: Chance”. In The Roots of American Psychology: Historical Influences and Implications for the Future, edited by Rieber, R. W. and Saizinger, K., 233–45.New York: New York Academy of Sciences.Google Scholar
Gruber, H. E. 1981. Darwin on Man: A Psychological Study of Scient Creativity, 2nd ed.Chicago, Ill.: University of Chicago Press.Google Scholar
Guilford, J. P. 1942. Fundamental Statistics in Psychology and Education.New York: McGraw-Hill.Google Scholar
Hacking, I. 1983. Representing and Intervening.Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hackmann, W. D. 1979. “The Relationship between Concept and Instrument Design in Eighteenth-Century Experimental Science”. Annals of Science 36:205–24.CrossRefGoogle Scholar
Hanson, N. R. 1958. Patterns of Discovery.Cambridge: Cambridge University Press.Google Scholar
Heider, F. 1958. The Psychology of Interpersonal Relations.New York: Wiley.CrossRefGoogle Scholar
Herbart, J. F. [1816] 1891. A Textbook in Psychology. Translated by Smith, M. K. New York: Appleton. (Originally published as Lehrbuch zur Psychologie, Hamburg: G.Hartenstein.)Google Scholar
Hilgard, E. R. 1955. “Discussion of Probabilistic Functionalism”. Psychological Review 62:226–28.CrossRefGoogle ScholarPubMed
Holton, G. 1988. Thematic Origins of Scient Thought, 2nd ed.Cambridge, Mass.: Harvard University Press.Google Scholar
Kahneman, D., and Tversky, A. 1973. “on the Psychology of Prediction”. Psychological Review 80:237–51.CrossRefGoogle Scholar
Kelley, H. H. 1967. “Attribution Theory in Social Psychology”. In Nebraska Symposium on Motivation, vol. 15, edited by D. Levine, 192–238.Lincoln: University of Nebraska Press.Google Scholar
Kelley, H. H. 1973. “The Process of Causal Attribution”. American Psychologist 28:107–28.CrossRefGoogle Scholar
Kruger, L., Gigerenzer, G., and Morgan, M. S., eds. 1987. The Probabilistic Revolution, vol. 2: Ideas in the Sciences.Cambridge, Mass.: MIT Press.Google Scholar
Langley, P., Simon, H. A., Bradshaw, G. L., and Zytkow, J. M. 1987. ScientWc Discovery.Cambridge, Mass.: MIT Press.CrossRefGoogle Scholar
Leary, D. E. 1987. “From Act Psychology to Probabilistic Functionalism: The Place of Egon Brunswik in the History of Psychology”. In Psychology in Twentieth- Century Thought and Society, edited byAsh, M. G. and Woodward, W. R., 115–42.Cambridge: Cambridge University Press.Google Scholar
Leibniz, G. W. von. [1960] 1951. “The Horizon of Human Doctrine”. In Selections. Edited by Wiener, P. P., 73–77.New York: Scribner.Google Scholar
Lenoir, T. 1986. “Models and Instruments in the Development of Electrophysiology, 1845–1912”. Historical Studies in the Physical Sciences 17:1–54.CrossRefGoogle ScholarPubMed
Lopes, L. L. 1982. “Doing the Impossible: A Note on Induction and the Experience of Randomness”. Journal of Experimental Psychology: Learning, Memory, and Cognition 8:626–36.Google Scholar
Lopes, L. L. 1991. “The Rhetoric of Irrationality”. Theory and Psychology 1:65–82.CrossRefGoogle Scholar
McArthur, L. A. 1972. “The How and What of Why: Some Determinants and Consequents of Causal Attribution“. Journal of Personality and Social Psychology 22:171–93.CrossRefGoogle Scholar
Massaro, D. W. 1987. Speech Perception by Ear and Eye.Hiisdale, N.J.: Eribaum.Google Scholar
Melton, A. W. 1962. Editorial. Journal of Experimental Psychology 64:553–57.CrossRefGoogle Scholar
Michotte, A. [1946] 1963. The Perception of Causality.London: Methuen.Google Scholar
Murdock, B.B Jr. 1982. “A Theory for the Storage and Retrieval of Item and Associative Information”. Psychological Review 89:609–26.CrossRefGoogle Scholar
Neyman, J., and Pearson, E. S. 1928. “On the Use and Interpretation of Certain Test Criteria for Purposes of Statistical Inference: Part 1”. Biometrika 20A: 175–240.Google Scholar
Nickles, T. 1980. “Introductory Essay: Scientific Discovery and the Future of Philosophy of Science”. In Scientjflc Discovery, Logic, and Rationality, edited by Nickles, T., 1–59.Dordrecht: Reidel.CrossRefGoogle Scholar
Piaget, J. 1930. The Child's Conception of Causality.London: Kegan Paul.Google Scholar
Popper, K. [1935] 1959. The Logic of Scientific Discovery.New York: Basic Books.Google Scholar
Popper, K. 1978. Conjectures and Refutations.London: Routledge and Kegan Paul.Google Scholar
Reichenbach, H. 1949. “The Philosophical Significance of the Theory of Relativity”. In Albert Einstein: Philosopher-Scientist, edited by Schilpp, P. A., 289–311.Evanston, Ill.: Library of Living Philosophers.Google Scholar
Rose, N. 1985. The Psychological Complex: Psychology, Politics and Society in England, 1869–1939.London: Routledge and Kegan Paul.Google Scholar
Rucci, A. J., and Tweney, R. D. 1980. “Analysis of Variance and the ‘Second Discipline’ of Scientific Psychology: A Historical Account”. Psychological Bulletin 87:166–84.CrossRefGoogle Scholar
Schwarz, N., Hippler, H. J., Deutsch, B., and Strack, F. 1985. “Response Scales: Effects of Category Range on Reported Behavior and Subsequent Judgments”. Public Opinion Quarterly 49:1460–69.CrossRefGoogle Scholar
Simon, H. A. 1973. “Does Scientific Discovery Have a Logic?” Philosophy of Science 40:471–80.CrossRefGoogle Scholar
Simon, H. A. and Kulkarni, D. 1988. “The Processes of Scientific Discovery: The Strategy of Experimentation”. Cognitive Science 12:139–76.Google Scholar
Smith, L. D. 1986. Behaviorism and Logical Positivism.Stanford: Stanford University Press.Google Scholar
Sterling, T. D. 1959. “Publication Decisions and Their Possible Effects on Inferences Drawn from Tests of Significance or Vice Versa”. Journal of the American Statistical Association 54:30–34.Google Scholar
Swets, J. A. ed. 1964. Signal Detection and Recognition by Human Observers.New York: Wiley.Google Scholar
Swets, J. A., Tanner, W. D., and Birdsall, T. G. 1964. ldquo;Decision Processes in Perception”. In Signal Detection and Recognition in Human Observers, edited by Swets, J. A., 3–57.New York: Wiley.Google Scholar
Swijtink, Z. 1987. “The Objectification of Observation”. In The Probabilistic Revolution, vol. 1: Ideas in History, edited by Krüger, L, Daston, L., and Heidelberger, M. Cambridge, Mass.: MIT Press.Google Scholar
Tanner, W.P Jr.,1965. Statistical Decision Processes in Detection and Recognition. Technical Report, Sensory Intelligence Laboratory, Department of Psychology, University of Michigan.Google Scholar
Tanner, W.P Jr and Swets, J. A. 1954. “A Decision-Making Theory of Visual Detection”. Psychological Review 61:401–9.CrossRefGoogle ScholarPubMed
Tukey, J. W. 1977. Exploratory Data Analysis.Reading, Mass.: Addison-Wesley.Google Scholar
Tversky, A., and Kahneman, D. 1974. “Judgment under Uncertainty: Heuristpubnics and Biases”. Science 185:1124–31.CrossRefGoogle ScholarPubMed
Tversky, A. 1980. “Causal Schemas in Judgments under Uncertainty”. In Progress in Social Psychology, vol. 1, edited by Fishbein, M., 49–72.Hillsdale, N.J.: Erlbaum.Google Scholar
Tweney, R. D. 1985. “Faraday's Discovery of Induction: A Cognitive Approach”. In Faraday Rediscovered: Essays on the Ljfe and Work of Michael Faraday, 1791–1867. edited by D. Gooding and James, F. London: Macmillan.Google Scholar
Wertheimer, M. 1959. Productive Thinking.New York: Harper.Google Scholar
Wickelgreen, W. A., and Norman, D. A. 1966. “Strength Models and Serial Position in Short-Term Recognition Memory”. Journal of Mathematical Psychology 3:316–47.CrossRefGoogle Scholar