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EFA.dimensions (version 0.1.9.1)

Exploratory Factor Analysis Functions for Assessing Dimensionality

Description

Functions for an assortment of factor analysis-related procedures, including eleven procedures for determining the number of factors; for factor analysis with multiple options for methods of extraction and rotation; for bi-factor analysis; for extension factor analysis; options for running the analyses using either 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; wrapper 'lavaan'-based functions for factorial invariance and exploratory structural equation modeling; functions for the factor-ability of a correlation matrix, for the congruence between factors from different datasets, for the assessment of local independence, for the assessment of factor solution complexity, for internal consistency, and for correcting Pearson correlation coefficients for attenuation due to unreliability. Auerswald & Moshagen (2019, ); Field, Miles, & Field (2012, ISBN:978-1-4462-0045-2); Mulaik (2010, ISBN:978-1-4200-9981-2); O'Connor (2000, ).

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Version

Install

install.packages('EFA.dimensions')

Monthly Downloads

372

Version

0.1.9.1

License

GPL (>= 2)

Maintainer

Brian O'Connor

Last Published

September 14th, 2026

Functions in EFA.dimensions (0.1.9.1)

Factorial_Invariance

Factor Model Invariance
MISSING_INFO

Missing value statistics
MAP

Velicer's minimum average partial (MAP) test
FACTORABILITY

Factorability of a correlation matrix
EXTENSION_FA

Extension factor analysis
LOCALDEP

Local dependence
INTERNAL_CONSISTENCY

Internal consistency reliability coefficients
NEVALSGT1

The number of eigenvalues greater than 1
ESEM

Exploratory Structural Equation Modeling
OMEGA

Omega internal consistency reliability coefficients
PARALLEL

Parallel analysis of eigenvalues (random data only)
PROCRUSTES

Procrustes factor rotation
SALIENT

Salient loadings criterion for the number of factors
POLYCHORIC_R

Polychoric correlation matrix
ROOTFIT

Factor fit coefficients
PCA

Principal components analysis
SCREE_PLOT

Scree plot of eigenvalues
data_RSE_sex

Item-level dataset for the Rosenberg Self-Esteem scale plus gender
data_Harman

Correlation matrix from Harman (1967, p. 80).
data_RSE_not_recoded

Item-level dataset for the Rosenberg Self-Esteem scale
data_Field

data_Field
data_SDT

data_SDT
data_RSE

Item-level dataset for the Rosenberg Self-Esteem scale
data_HS_1939

Holzinger and Swineford (1939) data for 9 mental ability test scores
RECODE

Recode values in a vector
PLOT_Invariance

Plots of multiple groups factor analysis invariance statistics
RAWPAR

Parallel analysis of eigenvalues (for raw data)
data_TabFid

data_TabFid
SMT

Sequential chi-square model tests
SESCREE

Standard Error Scree test
data_NEOPIR

data_NEOPIR
COMPLEXITY

Factor solution complexity
EFA

Exploratory factor analysis
BIFACTOR

Bifactor analysis
EFA.dimensions-package

EFA.dimensions
DIMTESTS

Tests for the number of factors
CORRECTED_CORRELS

Corrected Pearson correlation coefficients
EFA.dimensions-defunct

Defunct functions
CONGRUENCE

Factor solution congruence
EMPKC

The empirical Kaiser criterion method
EFA_SCORES

Exploratory factor analysis scores