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quantmeth
Rnest:Next Eigenvalue Sufficiency Test
Determine the number of dimensions to retain in exploratory factor analysis. The main function, nest(), returns the solution and the plot(nest()) returns a plot.
Maintained by P.-O. Caron. Last updated 9 days ago.
exploratory-data-analysisfactor-analysis
2 stars 4.07 score 13 scripts
cran
siren:Hybrid FA-CFA for Controlling Acquiescence in Restricted Factorial Solutions
Performs hybrid multi-stage factor analytic procedure for controlling acquiescence in restricted solutions (Ferrando & Lorenzo-Seva, 2000 <https://www.uv.es/revispsi/articulos3.00/ferran7.pdf>).
Maintained by David Navarro-Gonzalez. Last updated 16 days ago.
2.30 scorecran
EFA.MRFA:Dimensionality Assessment Using Minimum Rank Factor Analysis
Performs parallel analysis (Timmerman & Lorenzo-Seva, 2011 <doi:10.1037/a0023353>) and hull method (Lorenzo-Seva, Timmerman, & Kiers, 2011 <doi:10.1080/00273171.2011.564527>) for assessing the dimensionality of a set of variables using minimum rank factor analysis (see ten Berge & Kiers, 1991 <doi:10.1007/BF02294464> for more information). The package also includes the option to compute minimum rank factor analysis by itself, as well as the greater lower bound calculation.
Maintained by David Navarro-Gonzalez. Last updated 4 years ago.
1.95 score 3 dependentscran
vampyr:Factor Analysis Controlling the Effects of Response Bias
Vampirize the response biases from a dataset! Performs factor analysis controlling the effects of social desirability and acquiescence using the method described in Ferrando, Lorenzo-Seva & Chico (2009) <doi:10.1080/10705510902751374>.
Maintained by David Navarro-Gonzalez. Last updated 4 years ago.
1.00 score