Exploratory Factor and Principal Component Analysis
This chapter provides an introduction to Factor Analysis (FA): A procedure to define the underlying structure among the variables in the analysis. The chapter provides general requirements, statistical assumptions, and conceptual assumptions behind FA. This chapter explains the way to do FA with IBM SPSS 20.0. It shows how to determine the number of factors to retain, interpret the rotated solution, create factor scores and summarize the results. Fictitious data from two studies are analysed to illustrate these procedures. The present chapter deals only with the creation of orthogonal (uncorrelated) components.
KeywordsCorrelation Matrix Factor Matrix Scree Plot Subsequent Multivariate Analysis Price Consciousness
- Hair JF Jr, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis: a global perspective. Pearson, LondonGoogle Scholar