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Principal Component Analysis of Senate Voting Patterns

Abstract

There are various techniques available for the principal component analysis (PCA) of binary matrices. We illustrate some of them in this chapter by analyzing votes on 20 issues in the 2001 US Senate, selected by Americans for Democratic Action [Americans for Democratic Action, 2002]. It must be emphasized that the techniques we discuss are general, because they apply to many different types of binary matrices. They can be used equally effectively, for example, to analyze data from choice experiments or from tests and exams.