IDEAS home Printed from https://ideas.repec.org/a/sek/jijoss/v5y2016i1p60-71.html
   My bibliography  Save this article

Satisfaction with chosen aspects of life in Poland - evaluation by canonical correlation methods

Author

Listed:
  • Alicja Grzeskowiak

    (Wroc?aw University of Economics)

Abstract

This paper is focused on the analysis of relations between variables representing the satisfaction with various aspects of life and other socio-economic indicators. The main objective of the study is to identify associations between multivariate datasets. The research is based on the datasets containing both metric and non-metric data, which determines the use of adequate analytical techniques. Hence, canonical correlation analysis and nonlinear canonical correlation analysis are applied, respectively. Special attention is paid to the visual presentation of the outcomes of the analyses. The approach used in this paper allows for the detection of interesting relations and patterns between datasets under consideration.

Suggested Citation

  • Alicja Grzeskowiak, 2016. "Satisfaction with chosen aspects of life in Poland - evaluation by canonical correlation methods," International Journal of Social Sciences, International Institute of Social and Economic Sciences, vol. 5(1), pages 60-71, February.
    • Handle: RePEc:sek:jijoss:v:5:y:2016:i:1:p:60-71
    as

    Download full text from publisher

    File URL: https://iises.net/international-journal-of-social-sciences/publication-detail-451
    Download Restriction: no
    File URL: https://iises.net/international-journal-of-social-sciences/publication-detail-451?download=4
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van der Burg, Eeke & de Leeuw, Jan & Dijksterhuis, Garmt, 1994. "OVERALS : Nonlinear canonical correlation with k sets of variables," Computational Statistics & Data Analysis, Elsevier, vol. 18(1), pages 141-163, August.
    2. González, Ignacio & Déjean, Sébastien & Martin, Pascal G. P. & Baccini, Alain, 2008. "CCA: An R Package to Extend Canonical Correlation Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i12).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Wenjia & Zhou, Yi-Hui, 2021. "Eigenvector-based sparse canonical correlation analysis: Fast computation for estimation of multiple canonical vectors," Journal of Multivariate Analysis, Elsevier, vol. 185(C).
    2. Dahl, Tobias & Naes, Tormod, 2006. "A bridge between Tucker-1 and Carroll's generalized canonical analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3086-3098, July.
    3. Tenenhaus, Arthur & Philippe, Cathy & Frouin, Vincent, 2015. "Kernel Generalized Canonical Correlation Analysis," Computational Statistics & Data Analysis, Elsevier, vol. 90(C), pages 114-131.
    4. Dmitry Kobak & Yves Bernaerts & Marissa A. Weis & Federico Scala & Andreas S. Tolias & Philipp Berens, 2021. "Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 980-1000, August.
    5. Nikolett Deutsch & László Berényi, 2018. "Personal approach to sustainability of future decision makers: a Hungarian case," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 271-303, February.
    6. J. Vrooman & Stella Hoff, 2013. "The Disadvantaged Among the Dutch: A Survey Approach to the Multidimensional Measurement of Social Exclusion," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(3), pages 1261-1287, September.
    7. Florian Rohart & Benoît Gautier & Amrit Singh & Kim-Anh Lê Cao, 2017. "mixOmics: An R package for ‘omics feature selection and multiple data integration," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-19, November.
    8. Corona Francisco & Horrillo Juan de Dios Tena & Wiper Michael Peter, 2017. "On the importance of the probabilistic model in identifying the most decisive games in a tournament," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(1), pages 11-23, March.
    9. Hongxing Li & Alasdair Cohen & Zheng Li & Mengjie Zhang, 2018. "The Impacts of Socioeconomic Development on Rural Drinking Water Safety in China: A Provincial-Level Comparative Analysis," Sustainability, MDPI, vol. 11(1), pages 1-12, December.
    10. Langworthy, Benjamin W. & Stephens, Rebecca L. & Gilmore, John H. & Fine, Jason P., 2021. "Canonical correlation analysis for elliptical copulas," Journal of Multivariate Analysis, Elsevier, vol. 183(C).
    11. Jimmy Martin-Delgado & Aurora Mula & Rafael Manzanera & Jose Joaquin Mira, 2022. "Measuring the Impact of Future Outbreaks? A Secondary Analysis of Routinely Available Data in Spain," IJERPH, MDPI, vol. 19(21), pages 1-14, October.
    12. Yongcheng Wang & Yiik Diew Wong & Kelvin Goh, 2021. "Perceived importance of inclusive street dimensions: a public questionnaire survey from a vision(ing) perspective," Transportation, Springer, vol. 48(2), pages 699-721, April.
    13. Tammo Bijmolt & Michel Velden, 2012. "Multiattribute perceptual mapping with idiosyncratic brand and attribute sets," Marketing Letters, Springer, vol. 23(3), pages 585-601, September.
    14. Jeroen Boelhouwer, 2017. "Bridging the Gap: Overcoming Data Difficulties During 40 Years of Measuring Well-Being in The Netherlands," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 129-145, January.
    15. de Leeuw, Jan & Mair, Patrick, 2009. "Gifi Methods for Optimal Scaling in R: The Package homals," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i04).
    16. repec:jss:jstsof:31:i04 is not listed on IDEAS
    17. Cruz-Cano, Raul & Lee, Mei-Ling Ting, 2014. "Fast regularized canonical correlation analysis," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 88-100.
    18. Lykou, Anastasia & Whittaker, Joe, 2010. "Sparse CCA using a Lasso with positivity constraints," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3144-3157, December.
    19. Elasra, Amira, 2024. "Comparing High Achievers to Low Achievers : An Examination of Student Inputs versus School Inputs in the Educational Outcomes of English Adolescent," The Warwick Economics Research Paper Series (TWERPS) 1503, University of Warwick, Department of Economics.

    More about this item

    Keywords

    satisfaction with life; canonical correlation analysis; nonlinear canonical correlation analysis;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:jijoss:v:5:y:2016:i:1:p:60-71. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://ijoss.iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.