Exploratory Factor and Principal Component Analysis

S. Sreejesh (), Sanjay Mohapatra () and M. R. Anusree ()
Additional contact information
S. Sreejesh: IFHE University
Sanjay Mohapatra: Xavier Institute of Management
M. R. Anusree: University of Kerala

Chapter Chapter 9 in Business Research Methods, 2014, pp 207-228 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-00539-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319005393

DOI: 10.1007/978-3-319-00539-3_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().