Objectives of factor analysis
To reduce the number of variables (indictors) to the smallest number of common factors
To identify the common factors (latent constructs) to best explain the intercorrelation among indicators and to build the most parsimonious factor model
Principal component analysis also tries to reduce the number of variables. However, factor analysis is based on a model
