Factor Analysis and Dimension Reduction in R by G. David Garson - 9781032246680

Taylor & Francis

Factor Analysis and Dimension Reduction in RA Social Scientist's Toolkit\nAuthor(s): G. David Garson\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Routledge\nISBN-13: 9781032246680, 978-1032246680\nSynopsis\nFactor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model performance metrics to compare them. Factor analysis in the form of principal components analysis (PCA) or principal factor analysis (PFA) is familiar to most social scientists. However, what is less familiar is understanding that factor analysis is a subset of the more general statistical family of dimension reduction methods.\n\nThe social scientist's toolkit for factor analysis problems can be expanded to include the range of solutions this book presents. In addition to covering FA and PCA with orthogonal and oblique rotation, this books coverage includes higher-order factor models, bifacto.