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Analyse factorielle pour le développement d'échelles×Construction d'une échelle de Likert×
DomainePsychométriePsychométrie
FamilleProcess / pipelineProcess / pipeline
Année d'origine19471932
Auteur d'origineLouis ThurstoneRensis Likert
TypeExploratory factor analysis methodologySummated rating scale methodology
Source fondatriceThurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55. link ↗
AliasExploratory factor analysis, EFA for scale development, Factorial structure analysisLikert summated rating scale, Summated rating scale construction
Apparentées55
RésuméExploratory 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.Likert scale construction is a systematic methodology for developing attitude measurement instruments using summated rating scales. Introduced by Rensis Likert in 1932, it enables researchers to quantify latent constructs such as attitudes, beliefs, and psychological states by aggregating responses across multiple items. The method remains foundational to quantitative social and health sciences research.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Factor Analysis for Scale Development · Likert Scale Construction. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare