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Empirically derived dietary patterns were obtained by principal factor analysis.
Higher adherence to Mediterranean-type diets or consumption of a vegetable-based dietary pattern (obtained from principal factor analysis) were positively associated with psychological resilience (β=0.43; 95%CI: 0.19 0.66, β=0.92; 0.69–1.16, and β=1.18; 0.93–1.44, for Greek Mediterranean diet score, Italian Mediterranean Index and the 'Olive oil and vegetables pattern', respectively).
Thereafter, we run a principal factor analysis with promax rotation.
A principal factor analysis of the 16 variables was conducted with varimax rotation.
To locate these visions, a principal factor analysis was conducted (as further explained later in the paper).
In order to analyse the relationships between consumers' choices and value system, we have applied the principal factor analysis, which has led us to identify four retained factors, considering that for the factors higher than four, the eigenvalues proved negative.
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Hypothesis tests, ANOVA, regression analysis, principal component analysis, factor analysis, and cluster analysis, as well as essential descriptive statistics, are covered in detail.
Methods used are: Principal Component Analysis, Factor Analysis and Cluster Analysis.
Topics: multiple regression, multivariate analysis of variance, principal components, factor analysis, canonical correlations, multidimensional scaling, clustering.
Topics include MANOVA, principal components, factor analysis, structural equations, discriminant analysis and clustering.
Principal component factor analysis with varimax rotation identified underlying factors for HACCP procedures and practices items.
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