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The number of retained factors can be determined by different criteria.
The retained factors were interpreted as the lognormally distributed components (modes) of the particle size spectrum.
The retained factors had an average CVR of.62 for the Behavioural dimension,.32 for the Emotional dimension and.24 for the Cognitive dimension.
The retained factors which led to a reduction of the initial dimension of the data set and explained about 84.173% of the total variance.
After performing a factor analysis, a special transformation of the retained factors was made to discover to what degree the above-mentioned explanatory variables affect the resultant variable and to give a rank of their influence (Jahn and Vahle 1968).
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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High correlation of all items with the first retained factor, substantial variance attributed to the first retained factor, and substantial correlation among the retained factor favored unidimensionality.
A likelihood ratio test (LRT), then, was used to compare a more complex model (the retained factor solution) with a simpler model (one-factor solution).
Each individual received a score for each retained factor, calculated by summing the standardized values of the items (food groups) weighted by their absolute scoring coefficients (factor loadings).
Table 2 presents the final component loadings for all of the complete scale items and the retained factor loadings are highlighted in bold.
But there are several different retaining factors.
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