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Analisis Faktor Konfirmatori untuk Skala×Analisis Faktor untuk Pengembangan Skala×
BidangPsikometriPsikometri
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19691947
PencetusKarl G. JöreskogLouis Thurstone
TipeConfirmatory factor analysis methodologyExploratory factor analysis methodology
Sumber perintisJöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗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
AliasCFA, Confirmatory factor analysis, Path analysis, Structural equation modelingExploratory factor analysis, EFA for scale development, Factorial structure analysis
Terkait45
RingkasanConfirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy.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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ScholarGateBandingkan metode: Confirmatory Factor Analysis for Scales · Factor Analysis for Scale Development. Diakses 2026-06-17 dari https://scholargate.app/id/compare