A new approach for selecting the number of factors
In factor analysis, it is critical to determine the number of factors. A new approach to select the number of factors based on unbiased risk estimation is introduced. This approach utilizes a concept, called generalized degrees of freedom (GDF), originally proposed for model selection in regression. A data perturbation technique is applied for estimating GDF. Simulation experiments show that the proposed method performs better than some commonly used methods.
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- Wim Krijnen, 2006. "Convergence of Estimates of Unique Variances in Factor Analysis, Based on the Inverse Sample Covariance Matrix," Psychometrika, Springer, vol. 71(1), pages 193-199, March.
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