Description Details Value Author(s) References Examples
Package for performing Parallel Analysis using Minimum Rank Factor Analysis (MRFA) . It also include a function to perform the MRFA only and another function to compute the Greater Lower Bound step for estimating the variables communalities.
For more information about the methods used in each function, please go to each main page.
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Performs Parallel Analysis using Minimum Rank Factor Analysis (MRFA). |
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Performs Minimum Rank Factor Analysis (MRFA) procedure. |
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Estimates the communalities of the variables from a factor model. |
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An auto-executable script for testing the functions included in DA.MRFA. |
David Navarro-Gonzalez
Urbano Lorenzo-Seva
Devlin, S. J., Gnanadesikan, R., & Kettenring, J. R. (1981). Robust estimation of dispersion matrices and principal components. Journal of the American Statistical Association, 76, 354-362. http://doi.org/10.1080/01621459.1981.10477654
ten Berge, J. M. F., & Kiers, H. A. L. (1991). A numerical approach to the approximate and the exact minimum rank of a covariance matrix. Psychometrika, 56(2), 309<e2><80><93>315. http://doi.org/10.1007/BF02294464
Ten Berge, J.M.F., Snijders, T.A.B. & Zegers, F.E. (1981). Computational aspects of the greatest lower bound to reliability and constrained minimum trace factor analysis. Psychometrika, 46, 201-213.
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209-220. http://doi.org/10.1037/a0023353
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