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Factor Analysis for Scale Development

Exploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors.

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Exploratory Factor Analysis Method for Psychometric Scale Construction and Validation

Dossier de méthode taxonomique · process-pipeline / psychometrics

Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. · ISBN 9780226797557
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(3), 272-299. · DOI 10.1037/1082-989X.4.3.272
DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). Thousand Oaks, CA: Sage Publications. · ISBN 9781506330174

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Méthodes apparentées

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Taxonomic bucketConfirmatory Factor Analysis for Scalesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketContent Validity Ratiomachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFloor and Ceiling Effectmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGuttman Scalemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLikert Scale Constructionmachine-suggested · Relational suggestion, not evidence.