Four Common Misconceptions in Exploratory Factor Analysis

By D. Bandalos, Meggen R. Boehm-Kaufman. 2008

166 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, General Agricultural and Biological Sciences

View Paper: https://www.semanticscholar.org/paper/80a4a030327086f767265a9e99debf67e147696c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Herman Aguinis
2. C. Pierce
3. Sacha Epskamp
4. D. Dalton
5. Hudson F. Golino
6. Frank Bosco
7. Marc Orlitzky
8. Christopher J. White

In General Agricultural and Biological Sciences

1. Sacha Epskamp
2. Hudson F. Golino

Citations in the corpus

• Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research (2016, methodology): “The Kaiser-Guttman rule is the default method for choosing the number of factors in many commercial software packages [20].”
• Meta-Analytic Choices and Judgment Calls: Implications for Theory Building and Testing, Obtained Effect Sizes, and Scholarly Impact (2011, methodology): “It has been suggested that exploratory analyses (e.g., factor analysis, validation research) be cross-validated by further research because estimates are usually inflated (e.g., Bandalos & Boehm-Kaufman, 2009; Cascio & Aguinis, 2005; Conway & Huffcutt, 2003).”