Principles of Exploratory Factor Analysis.

By L. R. Goldberg, Wayne F. Velicer. 2006

163 citations recorded by the source corpus.

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Citations in the corpus

Factor Analysis in Counseling Research and Practice (2013, background): “For detailed discussions, counselors and researchers have numerous generally accessible texts to consult (e.g., Child, 2006; Goldberg & Velicer, 2006; Kline, 1994; Nunnally & Bernstein, 1994; Pett, Lackey, & Sullivan, 2003; Tabachnick & Fidell, 2007; Thompson, 2004).”
On Common Factor and Principal Component Representations of Data: Implications for Theory and for Confirmatory Replications (2018, background): “For example, Goldberg and Velicer (2006), in a chapter offering general advice to personality researchers on analytic choices, argued that differences between the two methods were usually quite minor and that PCA might be preferred because it avoids certain problems of FA, such as improper solutions”
Ten Steps in Scale Development and Reporting: A Guide for Researchers (2018, methodology): “…of factors because the number of factors above one is greatly related to the total number of variables included a model, which researchers argue leads to the extraction of too many or too few factors (Fabrigar et al., 1999; Goldberg & Velicer, 2006; Kline, 2013; Worthington & Whittaker, 2006).”
Initial construction and validation of the Pathological Narcissism Inventory. (2009, methodology): “Exploratory principle-components analyses (Goldberg & Velicer, 2006) and parallel analysis (Horn, 1965; O'Connor, 2000) were used to identify the underlying dimensionality of the item pool and determine which items to retain or discard on the basis of their component loadings, average interitem…”