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Oblique promax rotation was used to allow for the possibility that resulting factors would correlate.
However, we can see two main reasons to refrain from analysing directly the resulting factors.
A confirmatory factor analysis (CFA) assessed the fit of the resulting factors with the data in the second half of the sample.
After examination of the amount of inertia captured by the method's resulting factors, 2 axes were kept for further analysis (they represent more than 67% of the total dispersion).
Resulting factors were compared as bivariates to evaluate relationships with water quality conditions.
As an estimation, the resulting factors were added to the LCIA method.
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From the resulting factor solution, items with factor loadings less than.50 were eliminated.
The resulting factor scales allow the selected groups to be represented on these figures.
Psychometric properties of the resulting factor solution were then evaluated using a number of tests.
The resulting factor analysis suggested four domains: symptoms, daily life impact, psychosocial impact, and treatment satisfaction.
The resulting factor values are decreasing and negatively related to our variables of interest.
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CEO of Professional Science Editing for Scientists @ prosciediting.com