Skip to main content

Exploratory Factor Analysis, Theory Generation, and Scientific Method

  • Chapter
  • First Online:
Method Matters in Psychology

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 45))

Abstract

This Chapter examines the methodological foundations of exploratory factor analysis (EFA) and suggests that it is properly construed as a method for generating explanatory theories. In the first half of the chapter, it is argued that EFA should be understood as an abductive method of theory generation that exploits an important precept of scientific inference known as the principle of the common cause. This characterization of the inferential nature of EFA coheres well with its interpretation as a latent variable method. The second half of the chapter outlines a broad theory of scientific method in which abductive reasoning figures prominently. It then discusses a number of methodological features of EFA in the light of that method. It is concluded that EFA, as a useful method of theory generation that can be profitably employed in tandem with confirmatory factor analysis and other methods of theory evaluation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Arntzenius, F. (1993). The common cause principle. Philosophy of Science Association, 1992(2), 227–237.

    Google Scholar 

  • 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, England: Cambridge University Press.

    Chapter  Google Scholar 

  • Cattell, R. B. (1978). The scientific use of factor analysis in the behavioral and life sciences. New York, NY: Plenum Press.

    Book  Google Scholar 

  • Duhem, P. (1954). The aim and structure of physical theory (2nd ed., P. P. Weiner, Trans.). Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272–299.

    Article  Google Scholar 

  • Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York, NY: Basic Books.

    Google Scholar 

  • Giere, R. N. (1983). Testing theoretical hypotheses. In J. Earman (Ed.), Testing scientific theories (pp. 269–298). Minneapolis, MN: University of Minnesota Press.

    Google Scholar 

  • Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Haig, B. D. (1987). Scientific problems and the conduct of research. Educational Philosophy and Theory, 19, 22–32.

    Article  Google Scholar 

  • Haig, B. D. (2005). An abductive theory of scientific method. Psychological Methods, 10, 371–388.

    Article  Google Scholar 

  • Harré, R. (1976). The constructive role of models. In L. Collins (Ed.), The use of models in the social sciences (pp. 16–43). London, England: Tavistock.

    Google Scholar 

  • Hartley, R. E. (1954). Two kinds of factor analysis. Psychometrika, 19, 195–203.

    Article  Google Scholar 

  • Hempel, C. G. (1966). Philosophy of natural science. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Hooker, C. A. (1987). A realistic theory of science. New York, NY: State University of New York Press.

    Google Scholar 

  • Josephson, J. R., & Josephson, S. G. (1994). Abductive inference: Computation, philosophy, technology. New York, NY: Cambridge University Press.

    Book  Google Scholar 

  • Kaplan, D. (2000). Structural equation modeling: Foundations and extensions. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Kim, J.-O., & Mueller, C. W. (1978). Introduction to factor analysis. Beverly Hills, CA: Sage.

    Book  Google Scholar 

  • Laudan, L. (1981). Science and hypothesis. Dordrecht, The Netherlands: Reidel.

    Book  Google Scholar 

  • Lykken, D. T. (1971). Multiple factor analysis and personality research. Journal of Experimental Research in Personality, 5, 161–170.

    Google Scholar 

  • Magnani, L. (2001). Abduction, reason and science: Processes of discovery and explanation. New York: Kluwer/Plenum.

    Book  Google Scholar 

  • McArdle, J. J. (1996). Current directions in structural factor analysis. Current Directions in Psychological Science, 5, 11–18.

    Article  Google Scholar 

  • McDonald, R. P., & Mulaik, S. A. (1979). Determinacy of common factors: A nontechnical review. Psychological Bulletin, 86, 297–306.

    Article  Google Scholar 

  • McMullin, E. (1983). Values in science. In P. Asquith & T. Nickles (Eds.), Philosophy of Science Association 1982 (Vol. 2, pp. 3–25). East Lansing, MI: Philosophy of Science Association.

    Google Scholar 

  • McMullin, E. (1995). Underdetermination. The Journal of Medicine and Philosophy, 20, 233–252.

    Article  Google Scholar 

  • Mulaik, S. A. (1987). A brief history of the philosophical foundations of exploratory factor analysis. Multivariate Behavioral Research, 22, 267–305.

    Article  Google Scholar 

  • Mulaik, S. A., & McDonald, R. P. (1978). The effect of additional variables on factor indeterminacy in models with a single common factor. Psychometrika, 43, 177–192.

    Article  Google Scholar 

  • Mulaik, S. A., & Millsap, R. E. (2000). Doing the four-step right. Structural Equation Modeling, 7, 36–73.

    Article  Google Scholar 

  • Mumford, S. (1998). Dispositions. Oxford, UK: Oxford University Press.

    Google Scholar 

  • Nickles, T. (1981). What is a problem that we might solve it? Synthese, 47, 85–118.

    Article  Google Scholar 

  • Peirce, C. S. (1931–1958). The collected papers of Charles Sanders Peirce, vols. 1–8. C. Hartshorne & P. Weiss (Eds. Vol. 1–6), & A. W. Burks (Ed., Vol. 7–8). Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Reichenbach, H. (1956). The direction of time. Berkeley: University of California Press.

    Google Scholar 

  • Rodgers, J. L., & Rowe, D. C. (2002). Theory development should begin (but not end) with good empirical fits: A comment on Roberts and Pashler (2000). Psychological Review, 109, 599–604.

    Article  Google Scholar 

  • Rorer, L. G. (1991). Some myths of science in psychology. In D. Cicchetti & W. M. Grove (Eds.), Thinking clearly about psychology (Vol. 1, pp. 61–87)., Matters of public interest Minneapolis: University of Minnesota Press.

    Google Scholar 

  • Rozeboom, W. W. (1961). Ontological induction and the logical typology of scientific variables. Philosophy of Science, 28, 337–377.

    Article  Google Scholar 

  • 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). New York: Teachers College Press.

    Google Scholar 

  • Rozeboom, W. W. (1973). Dispositions revisited. Philosophy of Science, 40, 59–74.

    Article  Google Scholar 

  • Rozeboom, W. W. (1984). Dispositions do explain: Picking up the pieces after Hurricane Walter. Annals of Theoretical Psychology, 1, 205–223.

    Article  Google Scholar 

  • Rozeboom, W. W. (1991a). Hyball: A method for subspace-constrained factor rotation. Multivariate Behavioral Research, 26, 163–177.

    Article  Google Scholar 

  • Rozeboom, W. W. (1991b). Theory and practice of analytic hyperplane optimization. Multivariate Behavioral Research, 26, 79–97.

    Google Scholar 

  • Salmon, W. C. (1984). Scientific explanation and the causal structure of the world. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Skinner, B. F. (1953). Science and human behavior. New York: The Free Press.

    Google Scholar 

  • Sober, E. (1982). Dispositions and subjunctive conditionals, or, dormative virtues are no laughing matter. Philosophical Review, 91, 591–596.

    Article  Google Scholar 

  • Sober, E. (1988). The principle of the common cause. In J. H. Fetzer (Ed.), Probability and causality (pp. 211–229). Dordrecht, The Netherlands: Reidel.

    Chapter  Google Scholar 

  • Spirtes, P., Glymour, C., & Scheines, R. (2000). Causation, prediction, and search (2nd ed.). Cambridge, MA: MIT Press.

    Google Scholar 

  • Stephenson, W. W. (1961). Scientific creed—1961. Psychological Record, 11, 1–25.

    Article  Google Scholar 

  • Strauss, A. (1987). Qualitative analysis for social scientists. Cambridge, England: Cambridge University Press.

    Book  Google Scholar 

  • Thagard, P. (1988). Computational philosophy of science. Cambridge, MA: MIT Press.

    Google Scholar 

  • Thagard, P. (1992). Conceptual revolutions. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Thurstone, L. L. (1947). Multiple-factor analysis (2nd ed.). Chicago: University of Chicago Press.

    Google Scholar 

  • Tuomela, R. (Ed.). (1978). Dispositions. Dordrecht, The Netherlands: Reidel.

    Google Scholar 

  • Whitt, L. A. (1992). Indices of theory promise. Philosophy of Science, 59, 612–634.

    Article  Google Scholar 

  • Woodward, J. (1989). Data and phenomena. Synthese, 79, 393–472.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Brian D. Haig .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Haig, B.D. (2018). Exploratory Factor Analysis, Theory Generation, and Scientific Method. In: Method Matters in Psychology. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-030-01051-5_4

Download citation

Publish with us

Policies and ethics