Common Factors Versus Components: Principals and Principles, Errors and Misconceptions

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Robust factor analysis in the presence of normality violations, missing data, and outliers: Empirical questions and possible solutions (2014, methodology): “…component scores, systemically uses overestimates of communality (i.e. unity, all standardized variance), and emphasizes differences in the qualities of scores for individuals on components rather than parameters, which in PCA do not generalize beyond the battery being analyzed (Widaman, 2007).”
Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis (2011, methodology): “The two main factor models associated with EFA or the unrestricted factor model include the component model and the common factor model, and numerous estimation or factor extraction methods exist for these models (see Gorsuch, 1983; Kaplan, 2009; Widaman, 2007).”
How Should the Internal Structure of Personality Inventories Be Evaluated? (2010, methodology): “For these analyses, we used unweighted least squares extraction and promax oblique rotations and computed congruence coefficients based on pattern weights to address any concerns over limitations imposed by using potentially suboptimal approaches to factoring the inventories (e.g., the use of princi”