EFA.Comp.Data: EFA.Comp.Data

In MHS-R/mhs: MHSPackage

Description

EFA.Comp.Data

Usage

EFA.Comp.Data(Data, F.Max, N.Pop = 10000, N.Samples = 500,
  Alpha = 0.3, Graph = F, Spearman = F)

Arguments

Data	N (sample size) x k (number of variables) data matrix
F.Max	largest number of factors to consider
N.Pop	size of finite populations of comparison data (default = 10,000 cases)
N.Samples	number of samples drawn from each population (default = 500)
Alpha	alpha level when testing statistical significance of improvement with add'l factor (default = .30)
Graph	whether to plot the fit of eigenvalues to those for comparison data (default = F)
Spearman	whether to use Spearman rank-order correlations rather than Pearson correlations (default = F)

References

Ruscio, John; Roche, B. (2012). 'Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure'. Psychological Assessment 24: 282?\200?292.

Examples

?Sample.Commands

MHS-R/mhs documentation built on May 25, 2019, 12:23 p.m.