DeSarbo, Wayne S.; Hausman, Robert E.; Kukitz, Jeffrey M. - In: Journal of Modelling in Management 2 (2007) 3, pp. 305-328
Purpose – Principal components analysis (PCA) is one of the foremost multivariate methods utilized in marketing and business research for data reduction, latent variable modeling, multicollinearity resolution, etc. However, while its optimal properties make PCA solutions unique, interpreting...