Sample Size in Factor Analysis: The Role of Model Error
By R. Maccallum, K. Widaman, Kristopher J Preacher, Sehee Hong. Multivariate Behavioral Research, 2001
1,059 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c34136f6eb7bfd529ac680ad409006ee254a2f09
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
- Bruno D. Zumbo
- M. Frey
- Jennifer Voth
- J. D. de Winter
- Dimitra Dodou
- Peter A. Wieringa
- Suzanne L. Slocum-Gori
- Rachna Shah
In Management Science and Operations Research
- Rachna Shah
- Susan Meyer Goldstein
- Marley W. Watkins
- J. D. de Winter
- Dimitra Dodou
- M. Frey
- Jennifer Voth
- Bruno D. Zumbo
In Statistics and Probability
- Marley W. Watkins
- Ken Kelley
- M. Frey
- Suzanne L. Slocum-Gori
- Rachna Shah
- J. D. de Winter
- S. Maxwell
- S. Galea
Citations in the corpus
- A Monte Carlo Study of Recovery of Weak Factor Loadings in Confirmatory Factor Analysis (2006, result): “These findings are similar to those found in the studies of Briggs and MacCallum (2003), MacCallum et al. (1999, 2001), and Velicer and Fava (1998).”
- A Note on Sample Size and Solution Propriety for Confirmatory Factor Analytic Models (2013, background): “MacCallum and his colleagues (MacCallum et al., 1999; MacCallum et al., 2001) demonstrated that violations of this assumption in samples are attenuated with greater sample size and higher factor loadings (thus higher communalities).”
- Assessing the Unidimensionality of Psychological Scales: Using Multiple Criteria from Factor Analysis (2011, background): “It has been found in several studies that factor analytic solutions are influenced by the magnitude of communality (Preacher and MacCallum 2002; MacCallum et al. 1999, 2001; Fabrigar et al. 1999).”
- Use of structural equation modeling in operations management research: Looking back and forward ☆ (2006, background): “But emerging research in this area indicates that the relationship between sample size and number of parameter estimates is complex and dependent upon MV characteristics (MacCallum et al., 2001).”
- Structural equation modeling: strengths, limitations, and misconceptions. (2005, background): “Unfortunately, in many cases, such rules of thumb are oversimplified or simply erroneous (e.g., MacCallum et al. 2001, Marsh et al. 2004).”
- Exploratory Factor Analysis With Small Sample Sizes (2009, methodology): “This framework is based on earlier theoretical analyses presented by MacCallum and Tucker (1991), subsequently extended by MacCallum et al. (2001).”