Beyond Turnout: The Consequences of Compulsory Voting
In: Political insight, Band 5, Heft 2, S. 22-25
ISSN: 2041-9066
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In: Political insight, Band 5, Heft 2, S. 22-25
ISSN: 2041-9066
In: Political behavior, Band 37, Heft 1, S. 67-86
ISSN: 1573-6687
In: PS: political science & politics, Band 47, Heft 3, S. 629-635
ISSN: 0030-8269, 1049-0965
In: Public choice, Band 159, Heft 1, S. 105-120
ISSN: 0048-5829
In: Electoral Studies, Band 32, Heft 4, S. 708-717
In: Journal of elections, public opinion and parties, Band 24, Heft 1, S. 90-114
ISSN: 1745-7297
In: APSA 2013 Annual Meeting Paper
SSRN
Working paper
In: Electoral studies: an international journal, Band 32, Heft 4, S. 708-717
ISSN: 0261-3794
In: Electoral studies: an international journal, Band 32, Heft 4, S. 708-717
ISSN: 0261-3794
In: Revista española de ciencia política, Heft 31, S. 211-215
ISSN: 1575-6548
In: Politics, philosophy & economics: ppe, Band 11, Heft 4, S. 352-356
ISSN: 1741-3060
In: Public choice, Band 159, Heft 1-2, S. 105-120
ISSN: 1573-7101
In: Revista mexicana de análisis político y administración pública: REMAP, Band 1, Heft 1, S. 255-256
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.
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In: American journal of political science: AJPS, Band 55, Heft 4, S. 955-972
ISSN: 0092-5853