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Exploratory Factor and Principal Component Analysis

In: Business Research Methods

Author

Listed:
  • S. Sreejesh

    (IFHE University)

  • Sanjay Mohapatra

    (Xavier Institute of Management)

  • M. R. Anusree

    (University of Kerala)

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.

Suggested Citation

  • S. Sreejesh & Sanjay Mohapatra & M. R. Anusree, 2014. "Exploratory Factor and Principal Component Analysis," Springer Books, in: Business Research Methods, edition 127, chapter 0, pages 207-228, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-00539-3_9
    DOI: 10.1007/978-3-319-00539-3_9
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    Cited by:

    1. Min Guo & Cui Wang & Xiumin Yin & Liting Nie & Gongchao Wang, 2019. "Symptom clusters and related factors in oesophageal cancer patients 3 months after surgery," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(19-20), pages 3441-3450, October.

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