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We also conducted a component analysis based on the complete-level network data, yielding entirely new types of findings.
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To explore the dimensionality of the Career-Success Scale (CSS) we conducted a factor analysis (principal component analysis and variamax rotation); criteria for the number of factors were the number of eigenvalues ≥ 1 and the scree plot.
To explore the construct validity of the four constructs underlying the 15 items, we conducted a principal component factor analysis with varimax rotation.
We conducted a principal component factor analysis with an extraction criterion of Eigenvalue >1 by a scree plot and with varimax rotation, using the Kaiser-Meyer-Olkin (KMO) and Bartlett tests to explore the validity of SPRAT in line with previous studies.
For the exploratory part, we conducted a principal component analysis on the seven health scales with oblimin rotation.
17 Initially, we conducted a principal components factor analysis based on eigenvalues greater than one of the eight rule of law subindices, finding a single component (see online supplementary appendix).
We conducted a principal components factor analysis (PCA) to derive major dietary patterns.
In order to examine patterns in perceptions of the effects we conducted a principal components factor analysis with orthogonal rotation with the 17 individual effects items.
First, I conducted a principal component analysis to reduce colinearity among four separate variables comprising human resources and extracted components with eigenvalues greater than 1.0.
We conducted a principal component analysis on variables that were strongly correlated and used the eigenvalues of each species on the independent principal component axes for all multiple regressions.
We conducted a principal component analysis (PCA) and constructed a neighbor-joining tree based on 450,000 high-quality SNPs.
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