Synthese 196 (10):4329-4350 (2019)

Clayton Peterson
Université de Montréal
In psychology, measurement instruments are constructed from scales, which are obtained on the grounds of exploratory and confirmatory factor analysis. Looking at the literature, one can find various recommendations regarding how these techniques should be used during the scale construction process. Some authors suggest to use exploratory factor analysis on the entire data set while others advice to perform an internal cross-validation by randomly splitting the data set in two and then either perform exploratory factor analysis on both parts or exploratory factor analysis on the first part and confirmatory factor analysis on the other. In spite of all these divergent recommendations, there is no consensus on which method yields the best result. In this paper, we analyze this issue in light of the prediction versus accommodation debate and argue that the answer to this question depends on one’s conception of the criteria that should be used to achieve the goals of the scientific enterprise.
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DOI 10.1007/s11229-017-1660-0
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References found in this work BETA

Causation, Prediction, and Search.Peter Spirtes, Clark Glymour & Richard Scheines - 1996 - British Journal for the Philosophy of Science 47 (1):113-123.
Prediction Versus Accommodation and the Risk of Overfitting.Christopher Hitchcock & Elliott Sober - 2004 - British Journal for the Philosophy of Science 55 (1):1-34.

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Citations of this work BETA

Methodological Empiricism and the Choice of Measurement Models in Social Sciences.Clayton Peterson - 2018 - European Journal for Philosophy of Science 8 (3):831-854.

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Exploratory Factor Analysis and Theory Generation in Psychology.Clayton Peterson - 2017 - Review of Philosophy and Psychology 8 (3):519-540.
Accomodation, Prediction, and Confirmation.Lee C. McIntyre - 2001 - Perspectives on Science 9 (3):308-323.
The Apparent Superiority of Prediction to Accommodation as a Side Effect: A Reply to Maher.Marc Lange - 2001 - British Journal for the Philosophy of Science 52 (3):575-588.


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