On the Use of Selected Ordination Techniques to Analyze the Parliamentary Election Results

Authors

  • Małgorzata Misztal University of Łódź, Department of Statistical Methods

DOI:

https://doi.org/10.18778/0208-6018.322.11

Keywords:

ordination techniques, redundancy analysis, parliamentary elections

Abstract

Ordination techniques such as CCA (Canonical Correspondence Analysis) or RDA (Redundancy Analysis) are very popular in ecological research but almost completely unknown in, for example, socio-economic research. The goal of this paper is to concisely organize the concepts and terminology associated with ordination and to present the possibilities of its application in social research with an example of the analysis of the 2015 parliamentary elections results.

Downloads

Download data is not yet available.

References

Calow P. (red.) (1999), Blackwell’s Concise Encyclopedia of Ecology, Blackwell Science, London.
Google Scholar

Everitt B.S., Skrondal A. (2010), The Cambridge Dictionary of Statistics, Fourth Edition, Cambridge University Press, Cambridge.
Google Scholar

Gauch H.G., Jr. (1982), Noise reduction by eigenvalue ordinations, “Ecology”, vol. 63, pp. 1643–1649.
Google Scholar

Goodall D.W. (1954), Objective methods for the classification of vegetation. III. An essay in the use of factor analysis, “Australian Journal of Botany”, vol. 2, pp. 304–324.
Google Scholar

Gower J.C. (1984), Ordination, multidimensional scaling and allied topics, (in:) W. Lederman [ed.] “Handbook of Applicable Mathematics”, vol. VI: E. Lloyd (ed.) “Statistics”, Wiley, Chichester, pp. 727–781.
Google Scholar

Greenacre M. (2007), Correspondence Analysis in Practice, 2ed., Chapman & Hall/CRC, Taylor & Francis Group, Boca Raton.
Google Scholar

Hill M.O., Gauch H.G. (1980), Detrended correspondence analysis: an improved ordination technique, “Vegetatio”, vol. 42, pp. 47–58.
Google Scholar

Hotelling H. (1933), Analysis of a complex of statistical variables into principal components, “Journal of Educational Psychology”, vol. 24, pp. 417–441, 498–520.
Google Scholar

Jongman R.H.G., ter Braak C.J.F., van Tongeren O.F.R. (ed.) (1995), Data Analysis in Community and Landscape Ecology, Cambridge University Press, Cambridge.
Google Scholar

Legendre P., Legendre L. (1998), Numerical Ecology, Elsevier Science B.V., Amsterdam.
Google Scholar

Lepš J., Šmilauer P. (2003), Multivariate Analysis of Ecological Data using CANOCO, Cambridge University Press, Cambridge.
Google Scholar

Państwowa Komisja Wyborcza: Wyniki wyborów do Sejmu RP z dnia 25 października 2015, Internet site:http://parlament2015.pkw.gov.pl, access: 15.11.2015.
Google Scholar

Pearson K. (1901), On lines and planes of closest fit to systems of points in space, “Philosophical Magazine”, Ser. 6, vol. 2, pp. 559–572.
Google Scholar

Rao C.R. (1964), The Use and Interpretation of Principal Component Analysis in Applied Research, “Sankhyā: The Indian Journal of Statistics”, Series A (1961–2002), vol. 26, no. 4 (Dec., 1964), pp. 329–358.
Google Scholar

Regiony Polski (2015), GUS, Warszawa.
Google Scholar

ter Braak C.J.F. (1986), Canonical correspondence analysis: a new eigenvector technique for multivariate direct gradient analysis, “Ecology”, vol. 67(5), pp. 1167–1179.
Google Scholar

ter Braak C.J.F. (1994), Canonical community ordination. Part I: Basic theory and linear methods, “Ecoscience”, vol. 2, pp. 127–140.
Google Scholar

ter Braak C.J.F., Prentice I.C. (1988), A theory of gradient analysis, “Advances in Ecological Research”, vol. 18, pp. 271–317.
Google Scholar

van den Wollenberg A.L. (1977), Redundancy analysis. An alternative for canonical correlation analysis, “Psychometrika”, vol. 42, no. 2, pp. 207–219.
Google Scholar

Downloads

Published

2016-12-08

How to Cite

Misztal, M. (2016). On the Use of Selected Ordination Techniques to Analyze the Parliamentary Election Results. Acta Universitatis Lodziensis. Folia Oeconomica, 3(322), [127]-139. https://doi.org/10.18778/0208-6018.322.11

Issue

Section

Statistics and econometrics

Similar Articles

<< < 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 > >> 

You may also start an advanced similarity search for this article.