Open AccessConfirmatory Factor Analysis Compared with Principal Component Analysis to Derive Dietary Patterns: A Longitudinal Study in Adult Women
Author(s) -
Annabelle Bédard,
Judith GarcíaAymerich,
Margaux Sanchez,
Nicole Le Moual,
Françoise ClavelChapelon,
MarieChristine BoutronRuault,
Jean Maccario,
Raphaëlle Varraso
Publication year - 2015
Publication title -
journal of nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.463
H-Index - 265
eISSN - 1541-6100
pISSN - 0022-3166
DOI - 10.3945/jn.114.204479
Subject(s) - principal component analysis , context (archaeology) , asthma , confirmatory factor analysis , medicine , multivariate analysis , proportional hazards model , refined grains , cohort , demography , statistics , food science , mathematics , structural equation modeling , biology , whole grains , paleontology , sociology
Principal component analysis (PCA) has been used extensively to derive dietary patterns. We proposed to use confirmatory factor analysis (CFA) in the same context as PCA--as a one-step approach--to derive dietary patterns.
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