Use of Exploratory Factor Analysis in Published Research

By R. Henson, J. K. Roberts. 2006

2,283 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Experimental and Cognitive Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d3ad5dd96415ac80033e992e57d8243bf010a68d

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In Computer Networks and Communications

In Experimental and Cognitive Psychology

In Management Science and Operations Research

Citations in the corpus

Development of the Competitive Work Environment Scale: A Multidimensional Climate Construct (2010, background): “Per Graham, Guthrie, and Thompson (2003) and Henson and Roberts (2006) we report both the pattern and structure coefficients.”
Exploratory Factor Analysis: A Five-Step Guide for Novices (2010, background): “1 Henson and Roberts (2006) note “the meaningfulness of latent factors is ultimately dependent on researcher definition”.”
An Updated Guideline for Assessing Discriminant Validity (2020, methodology): “If the factors are rotated orthogonally (e.g., Varimax) or are otherwise constrained to be uncorrelated, the pattern coefficients and structure coefficients are identical (Henson & Roberts, 2006).”
The Multitasking Preference Inventory: Toward an Improved Measure of Individual Differences in Polychronicity (2010, background): “Although two additional factors provided eigenvalues slightly over one (1.38 and 1.15), we chose not to retain the three-factor solution for theoretical reasons and because eigenvalues are known to overestimate the number of factors to extract (e.g., Henson & Roberts, 2006).”
Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size (2012, background): “The level of loadings and number of factors of this baseline is representative of the use of factor analysis in psychological research [26].”
The COVID-19 anxiety syndrome scale: Development and psychometric properties (2020, positive): “A parallel analysis confirmed the two-factor solution (Henson and Roberts, 2006).”
A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario (2017, methodology): “Unlike EFA, CFA is driven by theoretical expectations regarding the structure of the data (Henson & Roberts, 2006).”
The Hull Method for Selecting the Number of Common Factors (2011, methodology): “In empirical practice, it is generally advised to use an objective procedure combined with reasoned reflection (see, e.g., Henson & Roberts, 2006; Kahn, 2006).”
Rotation Criteria and Hypothesis Testing for Exploratory Factor Analysis: Implications for Factor Pattern Loadings and Interfactor Correlations (2011, background): “Rotation criteria continue to be selected based on the correlations between factors, or lack thereof, while ignoring factor structure complexity and other influences on the rotated loading matrix (Browne, 2001; Fabrigar, Wegener, MacCallum, & Strahan, 1999; Henson & Roberts, 2006).”
Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, background): “Generally, it is observed that many researchers recommend that sample size of at least 300 is good (Henson & Roberts, 2006; Pett, Lackey, & Sullivan, 2003).”