![]() ![]() ![]() The dominant factor Extraversion attracts a lot of variance, especially in the form of negative charges of Natural reactions. The 30 facets can clearly be reduced to the five components to which they belong according to the theoretical model of the Big Five. The table below shows the results of a PCA with varimax rotation. Principal component analysis is a multivariate method of analysis in statistics to describe a large amount of data with a smaller number of relevant quantities, the main components or principal components. The average Cronbach’s Alpha of the 30 facets is 0.753, which is a good performance considering the length of the scales. Below is shown what happens to the Cronbach’s Alpha of a factor when one of the 24 items is removed. If an item does not correlate sufficiently with the other items of the same factor, it damages the reliability of said factor. On average across the five factors, the reliability coefficient is 0.88, which may be considered very high. A often used criterion for instruments used in advisory situations is that the reliability coefficient of Cronbach’s alpha should not be lower than. ![]()
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