Sample.Commands: Sample.Commands

In MHS-R/mhs: MHSPackage

Description

This program shows how to use the main program with two illustrative samples of data. The first sample contains N = 500 cases, k = 12 normally distributed continuous variables, and 3 correlated factors. The sample commands show the correlation matrix and the output of the EFA.Comp.Data program, which correctly identifies 3 factors. The second sample contains N = 500 cases, k = 8 non-normally distributed ordinal variables, and 2 uncorrelated factors. The sample commands show the Pearson correlation matrix, the Spearman correlation matrix, the difference between these matrices, the output of the EFA.Comp.Data program (first using Pearson correlations and then using Spearman correlations). The first run overidentifies the number of factors, but the second correctly identifies 2 factors.

Usage

Sample.Commands()

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

## Not run: 
?Sample.Commands

## End(Not run)

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