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Exploratory Factor and Principal Component Analysis

  • S. Sreejesh
  • Sanjay Mohapatra
  • M. R. Anusree
Chapter

Abstract

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.

Keywords

Correlation Matrix Factor Matrix Scree Plot Subsequent Multivariate Analysis Price Consciousness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Reference

  1. Hair JF Jr, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis: a global perspective. Pearson, LondonGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.IBS HyderabadIFHE UniversityHyderabadIndia
  2. 2.Xavier Institute of ManagementBhubaneswarIndia
  3. 3.Department of StatisticsUniversity of KeralaTrivandrumIndia

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