Package: EFA.dimensions 0.1.9.3

EFA.dimensions: Exploratory Factor Analysis Functions for Assessing Dimensionality

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, <doi:10.1037/met0000200>); 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>).

Authors:Brian P. O'Connor [aut, cre]

EFA.dimensions_0.1.9.3.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EFA.dimensions/json (API)

# Install 'EFA.dimensions' in R:
install.packages('EFA.dimensions', repos = c('https://bpoconnor.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bpoconnor/efa.dimensions/issues

Datasets:

On CRAN:

Conda:

2.73 score 54 scripts 766 downloads 31 exports 96 dependencies

Last updated from:7fa8bd9c16. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE172
source / vignettesOK253
linux-releaseNOTE164
macos-releaseNOTE144
macos-oldrelNOTE107
windows-develNOTE95
windows-releaseNOTE132
windows-oldrelNOTE122
wasm-releaseOK106

Exports:BIFACTORCOMPLEXITYCONGRUENCECORRECTED_CORRELSDIMTESTSEFAEFA_SCORESEMPKCESEMEXTENSION_FAFACTORABILITYFactorial_InvarianceINTERNAL_CONSISTENCYINTERNAL.CONSISTENCYLOCALDEPMAPMISSING_INFONEVALSGT1OMEGAPARALLELPCAPLOT_InvariancePOLYCHORIC_RPROCRUSTESRAWPARRECODEROOTFITSALIENTSCREE_PLOTSESCREESMT

Dependencies:admiscaudiobackportsbeeprbriocallrcheckmateclassclicliprclueclustercodetoolscpp11crayondcurverDerivdescdiffobjdigestdplyre1071EFAtoolsevaluatefarverfsfuturefuture.applygenericsggplot2globalsglueGPArotationgridExtragtableisobandjsonlitelabelinglatticelavaanlifecyclelistenvmagrittrMASSMatrixmgcvmirtmnormtmvtnormnlmenumDerivotelparallellypbapplypbivnormpermutepillarpkgbuildpkgconfigpkgloadpolycorpraiseprocessxprogressrproxypspsychqs2quadprogR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppParallelrlangroptimrprojrootS7scalessemToolssessioninfoSimDesignsplines2stringfishtestthattibbletidyselectutf8vctrsveganviridisLitewaldowithr

Readme and manuals

Help Manual

Help pageTopics
EFA.dimensionsEFA.dimensions-package
Bifactor analysisBIFACTOR
Factor solution complexityCOMPLEXITY
Factor solution congruenceCONGRUENCE
Corrected Pearson correlation coefficientsCORRECTED_CORRELS
data_Fielddata_Field
Correlation matrix from Harman (1967, p. 80).data_Harman
Holzinger and Swineford (1939) data for 9 mental ability test scoresdata_HS_1939
data_NEOPIRdata_NEOPIR
Item-level dataset for the Rosenberg Self-Esteem scaledata_RSE
Item-level dataset for the Rosenberg Self-Esteem scaledata_RSE_not_recoded
Item-level dataset for the Rosenberg Self-Esteem scale plus genderdata_RSE_sex
data_SDTdata_SDT
data_TabFiddata_TabFid
Tests for the number of factorsDIMTESTS
Exploratory factor analysisEFA
Exploratory factor analysis scoresEFA_SCORES
Defunct functionsIMAGE_FA MAXLIKE_FA PA_FA
The empirical Kaiser criterion methodEMPKC
Exploratory Structural Equation ModelingESEM
Extension factor analysisEXTENSION_FA
Factorability of a correlation matrixFACTORABILITY
Factor Model InvarianceFactorial_Invariance
Internal consistency reliability coefficientsINTERNAL.CONSISTENCY INTERNAL_CONSISTENCY
Local dependenceLOCALDEP
Velicer's minimum average partial (MAP) testMAP
Missing value statisticsMISSING_INFO
The number of eigenvalues greater than 1NEVALSGT1
Omega internal consistency reliability coefficientsOMEGA
Parallel analysis of eigenvalues (random data only)PARALLEL
Principal components analysisPCA
Plots of multiple groups factor analysis invariance statisticsPLOT_Invariance
Polychoric correlation matrixPOLYCHORIC_R
Procrustes factor rotationPROCRUSTES
Parallel analysis of eigenvalues (for raw data)RAWPAR
Recode values in a vectorRECODE
Factor fit coefficientsROOTFIT
Salient loadings criterion for the number of factorsSALIENT
Scree plot of eigenvaluesSCREE_PLOT
Standard Error Scree testSESCREE
Sequential chi-square model testsSMT