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)randomuse random starting values (mlonly); seldom usedseed(seed)random-number seed (mlwithprotect()orrandomonly)maximizeopt ionscontrol the maximization process; seldom used (mlonly)norotateddisplay unrotated solution, even if rot
Statistics >Multivariate analysis >Factor and principal component analysis >Factor analysis ... Introduction Factor analysis, in the sense of exploratory factor analysis, is a statistical technique for data reduction. It reduces the number of variables in an analysis by describing linear combinations of the
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