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Principal Component Analysis Using the Factor Procedure

Principal Component Analysis Using the Factor Procedure

Sean Eom
Copyright: © 2009 |Pages: 23
ISBN13: 9781599047386|ISBN10: 1599047381|ISBN13 Softcover: 9781616925550|EISBN13: 9781599047409
DOI: 10.4018/978-1-59904-738-6.ch008
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MLA

Sean B. Eom. "Principal Component Analysis Using the Factor Procedure." Author Cocitation Analysis: Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline, IGI Global, 2009, pp.171-193. https://doi.org/10.4018/978-1-59904-738-6.ch008

APA

S. Eom (2009). Principal Component Analysis Using the Factor Procedure. IGI Global. https://doi.org/10.4018/978-1-59904-738-6.ch008

Chicago

Sean B. Eom. "Principal Component Analysis Using the Factor Procedure." In Author Cocitation Analysis: Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-738-6.ch008

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Abstract

This chapter describes the factor procedure. The first section of the chapter begins with the definition of factor analysis. This is the statistical techniques whose common objective is to represent a set of variables in terms of a smaller number of hypothetical variables (factor). ACA uses principal component analysis to group authors into several catagories with similar lines of research. We also present many different approaches of preparing datasets including manual data inputs, in-file statement, and permanent datasets. We discuss each of the key SAS statements including DATA, INPUT, CARDS, PROC, and RUN. In addition, we examine several options statements to specify the followings: method for extracting factors; number of factors, rotation method, and displaying output options.

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