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    Area of Science:

    • Methodology of Science
    • Statistical Inference
    • Psychometrics

    Background:

    • Exploratory Factor Analysis (EFA) is a widely used statistical technique.
    • Its foundational principles and inferential nature require deeper examination.
    • Current interpretations may not fully capture its role in theory generation.

    Purpose of the Study:

    • To re-evaluate the methodological underpinnings of Exploratory Factor Analysis (EFA).
    • To establish EFA as a method for generating explanatory theories.
    • To integrate EFA within a broader framework of scientific method, emphasizing abductive reasoning.

    Main Methods:

    • Conceptual analysis of EFA's methodological foundations.
    • Argumentation based on the principle of the common cause.
    • Integration of EFA within a theory of scientific method featuring abductive reasoning.

    Main Results:

    • EFA is best construed as an abductive method for theory generation.
    • EFA exploits the principle of the common cause, aligning with latent variable interpretations.
    • EFA facilitates the generation of theories with genuine explanatory merit.

    Conclusions:

    • EFA serves as a valuable tool for scientific theory generation.
    • Factor indeterminacy is a manageable challenge for both EFA and confirmatory factor analysis.
    • EFA can be effectively combined with confirmatory factor analysis and other methods for theory evaluation.