An Overview of Analytic Rotation in Exploratory Factor Analysis
By Michael W. Browne. 2001
1,170 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8fd6fb7977a486cc9e554c98d4e4adad33fa57cb
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
- Alexandre J. S. Morin
- Daniel A. Sass
- Herbert W. Marsh
- Marylène Gagné
- Joshua L. Howard
- Matt C. Howard
- K. Hau
- David Litalien
In Management Science and Operations Research
- Alexandre J. S. Morin
- Herbert W. Marsh
- B. Muthén
- Thomas A. Schmitt
- Marylène Gagné
- Daniel A. Sass
- T. Asparouhov
- Joshua L. Howard
Citations in the corpus
- Independent Component Analysis of Climate Data: A New Look at EOF Rotation (2009, methodology): “minimize a particular criterion such as the Geomin (Browne 2001).”
- Should Regularization Replace Simple Structure Rotation in Exploratory Factor Analysis? (2019, methodology): “A variety of rotation techniques have been proposed for this purpose including, for example, Varimax, Geomin, or Quartimax (see Browne, 2001; Mulaik, 2010, for overviews).”
- A Comparison of CFA, ESEM, and BSEM in Test Structure Analysis (2019, methodology): “The restrictions of cross-loadings on non-targeted factors to be zero in CFA as exemplified in the ICMCFA models, however, are often overly simplistic, restrictive, and idealistic (Asparouhov & Muthén, 2009; Browne, 2001).”
- A Psychometric Network Perspective on the Validity and Validation of Personality Trait Questionnaires (2019, background): “Rotations are rarely discussed in the validation (e.g. estimation of factor loadings; Browne, 2001; Sass and Schmitt, 2010).”
- Repairing Tom Swift's Electric Factor Analysis Machine (2003, methodology): “This data set is widely available, and has been used frequently as an example (e.g., Browne, 2001; Gorsuch, 1983; Harman, 1967).”
- Testing Measurement Invariance and Comparing Latent Factor Means Within a Confirmatory Factor Analysis Framework (2011, methodology): “Although this exploratory approach is questionable without strong theory (Asparouhov & Muthén, 2009; Browne, 2001; Schmitt, 2011), it was adopted given the importance of a good fitting CI model (see Cheung & Rensvold, 2002) and avoiding misspecified models.”
- The General Factor of Personality and Evaluation (2012, methodology): “Therefore, we rotated the nonevaluative exploratory factors with an oblique target rotation described by Browne (2001). Conceptually, the target rotation may be viewed as sitting somewhere between an EFA and a CFA.”
- Investigating the Multidimensionality of Need Fulfillment: A Bifactor Exploratory Structural Equation Modeling Representation (2018, methodology): “In the ESEM models, the factors were defined as in the CFA models, and all cross-loadings were freely estimated but assigned a target value of zero using an oblique target rotation procedure (Browne, 2001).”
- Evidence of a continuum structure of academic self-determination: A two-study test using a bifactor-ESEM representation of academic motivation (2017, background): “Similarly, target rotation makes it possible to specify EFA/ESEM models with cross-loadings in a purely confirmatory manner, “targeting” cross-loadings to be as close to zero as possible (Asparouhov & Muthén, 2009; Browne, 2001).”
- Robust Promin: A method for diagonally weighted factor rotation (2019, neutral): “In exploratory factor analysis, the factorial model in the population is unknown and any rotated solution can be considered to be interpreted (see, for example, Schönemann & Wang, 1972, or Browne, 2001).”