Abstract
Psychological researchers make use of different kinds of methods and strategies when conducting their inquiries. Some of them are inductive in nature. Other methods serve hypothetico-deductive ends. Less well known is a third class of methods that is abductive in character. These methods differ from inductive and hypothetico-deductive methods in that they make use of explanatory considerations in order to judge the worth of research hypotheses and theories. Although researchers frequently engage in explanatory reasoning, there is a dearth of codified abductive methods available for ready use in psychology. Further, scientists do use abductive methods to a limited extent, but they seldom understand them as abductive methods. This chapter discusses a number of different abductive research methods of relevance to psychological research. The first of these, exploratory factor analysis, has been widely employed to generate rudimentary explanatory theories about common causes, although it is not generally recognized as an abductive method. The second method, analogical modeling, can be viewed as an abductive strategy for developing explanatory theories once they have been generated. The third abductive method, known generally as inference to the best explanation, gets formulated in different ways. These methods of inference to the best explanation can be used to evaluate the worth of competing explanatory theories. Theories of explanatory coherence are important in this regard.
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References
Abrantes, P. (1999). Analogical reasoning and modeling in the sciences. Foundations of Science, 4, 237–270.
Achinstein, P. (1989). Explanation and acceptability. Behavioral and Brain Sciences, 12, 467–468.
Arntzenius, F. (1993). The common cause principle. Philosophy of Science Association, 1992(2), 227–237.
Baird, D. (1987). Exploratory factor analysis, instruments, and the logic of discovery. British Journal for the Philosophy of Science, 38, 319–337.
Bartha, P. F. A. (2010). By parallel reasoning: The construction and evaluation of analogical arguments. Oxford University Press.
Block, N. J. (1976). Fictionalism, functionalism, and factor analysis. In R. S. Cohen (Ed.), Philosophy of science association, 1974 (pp. 127–141). Reidel.
Borsboom, D., van der Maas, H. L. J., Dalege, J., Kievit, R. A., & Haig, B. D. (2021). Theory construction methodology: A practical framework for building theories in psychology. Perspectives on Psychological Science, 16, 756–766.
Capaldi, E. J., & Proctor, R. W. (2008). Are theories to be evaluated in isolation or relative to alternatives? An abductive view. American Journal of Psychology, 121, 617–641.
Carruthers, P. (2002). The roots of scientific reasoning: Infancy, modularity, and the art of tracking. In P. Carruthers, S. Stich, & M. Siegal (Eds.), The cognitive basis of science (pp. 73–95). Cambridge University Press.
Chang, H. (2004). Inventing temperature: Measurement and scientific progress. Oxford University Press.
Cooke, D. J., & Michie, C. (2001). Refining the construct of psychopathy: Towards a hierarchical model. Psychological Assessment, 12, 171–188.
Glymour, C. (1992). Invasion of the mind snatchers. In R. N. Giere (Ed.), Minnesota studies in the philosophy of science, Vol. 15: Cognitive models of science (pp. 465–474). University of Minnesota Press.
Goffman, E. (1959). The presentation of self in everyday life. Doubleday Anchor.
Haig, B. D. (2005a). An abductive theory of scientific method. Psychological Methods, 10, 371–388.
Haig, B. D. (2005b). Exploratory factor analysis, theory generation, and scientific method. Multivariate Behavioral Research, 40, 303–329.
Haig, B. D. (2009). Inference to the best explanation: A neglected approach to theory appraisal in psychology. American Journal of Psychology, 122, 219–234.
Haig, B. D. (2014). Investigating the psychological world: Scientific method in the behavioral sciences. MIT Press.
Harman, G. (1965). The inference to the best explanation. Philosophical Review, 74, 88–95.
Harré, R. (1976). The constructive role of models. In L. Collins (Ed.), The use of models in the social sciences (pp. 16–43). Tavistock.
Harré, R. (1979). Social being. Basil Blackwell.
Harré, R. (2004). Models: Gateway to the unknown. Elsevier.
Harré, R., & Secord, P. F. (1972). The explanation of social behaviour. Blackwell.
Herbert, H. (1971). Darwin, Malthus, and selection. Journal of the History of Biology, 4, 209–217.
Hesse, M. (1966). Models and analogies in science. University of Notre Dame Press.
Ising, E. (1925). Bietrag zur theorie des feromagnetismus. Zeitschrift für Physik, 31, 253–258.
Janssen, M. (2002). COI stories: Explanation and evidence in the history of science. Perspectives on Science, 10, 457–522.
Josephson, J. R., & Josephson, S. G. (1994). Abductive inference: Computation, philosophy, technology. Cambridge University Press.
Kaplan, D. (2000). Structural equation modeling: Foundations and extensions. SAGE.
Kim, J. O., & Mueller, C. W. (1978). Introduction to factor analysis. SAGE.
Lipton, P. (2004). Inference to the best explanation (2nd ed.). Routledge.
Lycan, W. G. (2002). Explanation and epistemology. In P. Moser (Ed.), The Oxford handbook of epistemology (pp. 408–433). Oxford University Press.
Magnani, L. (2001). Abduction, reason, and science: Processes of discovery and explanation. Kluwer/Plenum.
Magnani, L. (2009). Abductive cognition. Springer.
Maier, M., van Dongen, N., & Borsboom, D. (2021). Comparing theories with the Ising model of explanatory coherence. https://doi.org/10.31234/osf.10/shaef
Markus, K. A., Hawes, S. W., & Thasites, R. J. (2008). Abductive inferences to psychological variables: Steiger’s question and best explanations of psychopathy. Journal of Clinical Psychology, 64, 1069–1088.
McArdle, J. J. (1996). Current directions in structural factor analysis. Current Directions in Psychological Science, 5, 11–18.
Mcauliffe, W. H. B. (2015). How did abduction get confused with inference to the best explanation? Transactions of the Charles S. Peirce Society, 51, 300–319.
Minnameier, G. (2004). Peirce-suit of truth: Why inference to the best explanation and abduction ought not to be confused. Erkenntnis, 60, 75–105.
Mulaik, S. A. (2010). Foundations of factor analysis (2nd ed.). Chapman & Hall/CRC.
Mulaik, S. A., & Millsap, R. (2000). Doing the four-step right. Structural Equation Modeling, 7, 36–73.
Norton, J. D. (2021). The material theory of induction. BSPS Open.
Peirce, C. S. (1931–1958). The collected papers of Charles Sanders Peirce, Vols. 1–8. Ed. C. Hartshorne & P. Weiss (Vol. 1–6), & Ed. A.W. Burks (Vol. 7–8). Harvard University Press.
Popper, K. R. (1972). Objective knowledge: An objective approach. Clarendon Press.
Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics, 2, 13–43.
Reichenbach, H. (1956). The direction of time. University of California Press.
Rozeboom, W. W. (1961). Ontological induction and the logical typology of scientific variables. Philosophy of Science, 28, 337–377.
Rozeboom, W. W. (1972). Scientific inference: The myth and the reality. In R. S. Brown & D. J. Brenner (Eds.), Science, psychology, and communication: Essays honoring William Stephenson (pp. 95–118). Teachers College Press.
Rozeboom, W. W. (1990). Hypothetico-deductivism is a fraud. American Psychologist, 45, 555–556.
Salmon, W. C. (1984). Scientific explanation and the causal structure of the world. Princeton University Press.
Schurz, G. (2008). Patterns of abduction. Synthese, 164, 201–234.
Sober, E. (1988). The principle of the common cause. In J. H. Fetzer (Ed.), Probability and causality (pp. 211–229). Reidel.
Spirtes, P., Glymour, C., & Scheines, R. (2000). Causation, prediction, and search (2nd ed.). MIT Press.
Stephenson, W. W. (1961). Scientific creed – 1961. Psychological Record, 11, 1–25.
Thagard, P. (1978). The best explanation: Criteria for theory choice. Journal of Philosophy, 75, 76–92.
Thagard, P. (1988). Computational philosophy of science. MIT Press.
Thagard, P. (1989). Explanatory coherence. Behavioral and Brain Sciences, 12, 435–467.
Thagard, P. (1992). Conceptual revolutions. Princeton University Press.
Thagard, P. (2000). Coherence in thought and action. MIT Press.
Thagard, P., & Litt, A. (2008). Models of scientific explanation. In R. Sun (Ed.), The Cambridge handbook of computational cognitive modeling (pp. 549–564). Cambridge University Press.
Theunissen, B. (2012). Darwin and his pigeons: The analogy between artificial and natural selection revisited. Journal of the History of Biology, 45, 179–212.
Van der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review, 113, 842–861.
Whitt, L. A. (1992). Indices of theory promise. Philosophy of Science, 59, 612–634.
Yu, C. H. (2006). Philosophical foundations of quantitative research methodology. University Press of America.
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Haig, B.D. (2022). Abductive Research Methods in Psychological Science. In: Magnani, L. (eds) Handbook of Abductive Cognition. Springer, Cham. https://doi.org/10.1007/978-3-030-68436-5_64-1
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