On exploratory factor analysis: a review of recent evidence, an assessment of current practice, and recommendations for future use.

By C. Gaskin, B. Happell. International Journal of Nursing Studies, 2014

582 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e58d6d192b46395d10e8f6bb972779fc846fe50a

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1. Marley W. Watkins
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Citations in the corpus

• Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR. (2014, methodology): “This method has been criticised as most factors that make up a latent variable are expected to share some degree of relationship (Gaskin & Happell, 2013).”
• Exploratory Factor Analysis: A Guide to Best Practice (2018, background): “In contrast, ML estimation would be appropriate when factor-variable relationships are strong (>.40), sample size is large, multivariate normality is attained, and the number of factors is correctly specified (Fabrigar et al., 1999; Gaskin & Happell, 2014; Norman & Streiner, 2014).”