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In science, the best we can do is to come up with a provisional solution which could be overturned by another solution that explains more of the evidence: no matter how unlikely that might seem.
LCA methods typically include rules designed to find the subgroup solution that explains the most variance while requiring the simplest specification of the model.
An exploratory factor analysis of postcourse scores (n=399; principal components method with varimax rotation) shows a two-factor solution that explains 74% of the variance.
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The EFA resulted in retaining 57 items, with a 9-factor solution that explained 54.8% of the overall variance.
We illustrated this approach on a sample of 306 bicyclists in Iran and developed a five-dimension solution that explained 51% of the total variance.
Over-factoring revealed an interpretable three-factor solution that explained more of variance in the total task scores than the two-factor solution.
PCA of item responses for all patients gave a two component solution that explained 62.16% of the total variation.
Principle components analysis (PCA) on the 5-item Perceived Etiology Measure revealed a two-component solution that explained 77% of the variance.
The PCA of the five remaining items related to provision of medication information yielded results consistent with a one-factor solution that explained 53.09 percent of the total variance (α = 0.76) with factor loadings from 0.62 to 0.88.
To identify anthropogenic sources further [ 3, 4, 6, 10], we also conducted exploratory factor analyses in each city, with the number of factors determined based on (a) identified factors having ≥3 species with a correlation ≥0.30 and (b) a solution that explained ≥90% of the species common variance.
This resulted in a three factor solution that explained 68% of the variance and that mapped to the Banahans' concept of continuity and to the process of care.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com