Transcription of Stata: Software for Statistics and Data Science | Stata
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Stata: Software for Statistics and Data Science | Stata
Factor analysisSyntaxMenuDescriptionOptions for factor and factormatOptions unique to factormatRemarks and examplesStored resultsMethods and formulasReferencesAlso seeSyntaxFactor analysis of datafactorvarlist[if][in][weight][,metho d options]Factor analysis of a correlation matrixfactormatmatname, n(#)[method options factormatoptions]methodDescriptionModel 2pfprincipal factor; the defaultpcfprincipal- component factoripfiterated principal factormlmaximum likelihood factoroptionsDescriptionModel 2factors(#)maximum number of factors to be retainedmineigen(#)minimum value of eigenvalues to be retainedciterate(#)communality reestimation iterations (ipfonly)Reportingblanks(#)display loadings as blank when|loadings|<#altdivisoruse trace of correlation matrix as the divisor for reported proportionsMaximizationprotect(#)perform #optimizations and report the best solution (mlonly)
variables, unlike principal components (see[MV] pca), where reconstruction means minimum residual variance summed across all equations (variables). Once the factors and their loadings have been estimated, they are interpreted—an admittedly
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