Exploratory Factor Analysis Functions for Assessing Dimensionality
Factor solution complexity
Factor solution congruence
Corrected Pearson correlation coefficients
Tests for the number of factors
Exploratory factor analysis scores
Defunct functions
EFA.dimensions
Exploratory factor analysis
The empirical Kaiser criterion method
Extension factor analysis
Factorability of a correlation matrix
Internal consistency reliability coefficients
Local dependence
Velicer's minimum average partial (MAP) test
Missing value statistics
The number of eigenvalues greater than 1
Parallel analysis of eigenvalues (random data only)
Principal components analysis
Polychoric correlation matrix
Procrustes factor rotation
Parallel analysis of eigenvalues (for raw data)
Recode values in a vector
Factor fit coefficients
Salient loadings criterion for the number of factors
Scree plot of eigenvalues
Standard Error Scree test
Sequential chi-square model tests
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, internal consistency, and for correcting Pearson correlation coefficients for attenuation due to unreliability. 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).