CRAN/E | EFA.dimensions

EFA.dimensions

Exploratory Factor Analysis Functions for Assessing Dimensionality

Installation

About

Functions for eleven procedures for determining the number of factors, including functions for parallel analysis and the minimum average partial test. There are also functions for conducting principal components analysis, principal axis factor analysis, maximum likelihood factor analysis, image factor analysis, and extension factor analysis, all of which can take raw data or correlation matrices as input and with options for conducting the analyses using Pearson correlations, Kendall correlations, Spearman correlations, gamma correlations, or polychoric correlations. Varimax rotation, promax rotation, and Procrustes rotations can be performed. Additional functions focus on the factorability of a correlation matrix, the congruences between factors from different datasets, the assessment of local independence, the assessment of factor solution complexity, and internal consistency. Auerswald & Moshagen (2019, ISSN:1939-1463); Field, Miles, & Field (2012, ISBN:978-1-4462-0045-2); Mulaik (2010, ISBN:978-1-4200-9981-2); O'Connor (2000, doi:10.3758/bf03200807); O'Connor (2001, ISSN:0146-6216).

Key Metrics

Version 0.1.8.1
Published 2023-12-19 123 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Brian P. O'Connor

brian.oconnor@ubc.ca

Authors

Brian P. O'Connor

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EFA.dimensions archive

Imports

stats
psych
polycor
EFAtools
utils
mirt
GPArotation

Suggests

lattice