PCA includes correlated variables with the purpose of reducing the numbers of variables and explaining the same amount of variance with fewer variables (principal components).
The chemical and physical accounts are not of two different entities; rather, they describe and explain the same entity from two distinct points of view, and in this sense the two accounts are "parallel".
The results indicated that, yet, only one factor was extracted with the same Eigenvalue and explaining the same amount of variance as the initial exploratory factor analysis performed.
In the absence of relational continuity, the main problem was that patients repeatedly had to answer the same questions and explain the same things because, for instance, a new physician did not have time to thoroughly read the often very thick patient file.
We met a few days later at dinner and she explained the same thing had happened to her in Congo.
In patients with neurological and cardiopulmonary conditions, selected ICF categories and the Barthel Index Score explained the same variance in nursing workload (44% in neurological conditions, 35% in cardiopulmonary conditions), whereas ICF was slightly superior to Barthel Index Score for musculoskeletal conditions (20% versus 16%).
Such equivalent theories can differ in their respective ontologies (e.g., one adducing forces, the other fields) and still predict and explain the very same phenomena.
This rotated analysis led to the identification of 2 components for both boys and girls, explaining the same cumulative variance as the components from the first analysis.
Anti-realists have suggested that two theories are descriptively equivalent if each theory can be interpreted in the other and both theories explain the same phenomena.
All of these miRNAs are considered important in step 1 of the analysis; however, they are not independent of each other and may all explain the same variation in the data.
