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2020 | vol. 20, iss. 1 | 390--407
Tytuł artykułu

Methods of a Multivariate Analysis of Non-Metric Data in Evaluating the Generational Perception of Social Characteristics

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Research background: The search for factors influencing the evaluation of the quality of life in terms of subjective and objective socio-economic aspects was the background of the study. The search for perfect multivariate statistical methods in the describing of the assessments made by respondents in variable groups, as well as the categories was carried out. Purpose: The aim of the study was to recognize the natural areas of transferring subjective satisfaction with the level of social factors in the three groups describing: household, country of residence, and the EU. The determined natural relations between the factors were then compared with the established sets of those factors. The characteristics of behaviour were compared in three generations of the EU. Research methodology: The Standard Eurobarometer, autumn 2018, provided data describing adults from the generations Y, X, and BB. In the analysis a factor analysis and correspondence analysis were used. Results: The effect of the used methods is a multidirectional image of the evaluations made by the EU Generations Y, X and BB in the areas of an individual's functioning: direct (the household), close (the country of residence), and further (Europe and the EU). Novelty: The conducted analysis indicates the need to use diverse methods in order that the assumed research objectives are thoroughly realized. The article indicates the possibility of modifying the approach in using the Burt matrix in connection with concatenated contingency tables. (original abstract)
Rocznik
Strony
390--407
Opis fizyczny
Twórcy
  • Wrocław University of Economics, Poland
Bibliografia
  • Backhaus, K., Erichson, B., Plinke, W., Weiber, R. (2003). Multivariate Analysemethoden. Berlin: Springer.
  • Bąkowska, J. (2013). Managing Generation Y employees in an international company. Management, Finance and Economics, 1 (14).
  • Belleau, B.D., Summers, T.A., Xu, Y., Pinel, R. (2007). Theory of Reasoned Action Purchase Intention of Young Consumers. Clothing & Textiles Research Journal, 25 (3), 244-257. DOI: 10.1177/0887302X07302768.
  • Benzécrie, J.-P. (1992). Correspondence Analysis Handbook. New York: Marcel Dekker Inc.
  • Blasius, J. (2001). Korrespondenzanalyse. München: Oldenbourg Verlag.
  • European Commission. (2019). Eurobarometer 90.3(2018). Kantar Public [producer]. GESIS Data Archive, Cologne. ZA7489 Data file Version 1.0.0. DOI: 10.4232/1.13254.
  • Favero, W.L., Heath., G.R. (2012). Generational Perspectives in the Workplace: Interpreting the Discourses That Constitute Women's Struggle to Balance Work and Life. Journal of Business Communication, 49 (4), 332-356. DOI: 10.1177/0021943612456037.
  • Greenacre, M. (2010). Biplots in practice. Bilbao: Fundacion BBVA.
  • Greenacre, M., Blasius, J. (eds.) (2006). Multiple Correspondence Analysis and Related Methods. Boca Raton, Chapman & Hall/CRC. Taylor & Francis Group.
  • Hansen, J.-I.C., Leuty, M.E. (2012). Work Values Across Generations. Journal of Career Assessment, 20 (1), 34-52. DOI: 10.1177/1069072711417163.
  • Haque, M.M., Maheshwari, N. (2015). Consumer Ethnocentrism and Influence of Role Model on Generational Cohorts' Purchase Intentions towards Herbal Products. Asia-Pacific Journal of Management, Research and Innovation, 11 (4), 305-312. DOI: 10.1177/2319510X15609989.
  • Heijden van der, P.G.M. (1987). Correspondence Analysis of Logitudinal Categorical Data. Leiden: DSWO Press.
  • Jakość życia w Polsce (2017). Warszawa: Główny Urząd Statystyczny.
  • Kim, J.-O., Mueller, C. (1978). Factor Analysis. Statistical Methods and Practical Issues. Beverly Hills: Sage Publication Inc.
  • Lancaster, H.O. (1958). The structure of Bivariate Distributions. The Annals of Mathematical Statistics, 29 (3), 719-736.
  • Lebart, L. Morineau, A., Warwick, K.M. (1984). Multivariate Descriptive Statistical Analysis. Correspondence Analysis and Related Techniques for Large Matrices. New York: John Wiley & Sons, Inc.
  • Lichy, J. (2012). Towards an international culture: Gen Y students and SNS? Active Learning in Higher Education, 13 (2), 101-116. DOI: 10.1177/1469787412441289.
  • Lyons, S.T., Duxbuky, L., Higgins, C. (2007). An empirical assessment of generational differences in basic human values. Psychological reports, 101, 339-352.
  • Madudova, E., Fabuš, J. (2017). A study of consumer behaviour of active usage of instant messaging applications. International Journal of Economics, Business and Management Research, 1 (5), 350-357.
  • Mencl, J., Lester, S.W. (2014). More Alike Than Different: What Generations Value and How the Values Affect Employee Workplace Perceptions. Journal of Leadership & Organizational Studies, 21 (3), 257-272. DOI: 10.1177/1548051814529825.
  • Olsson, M., Schuller, B.J. (2012). Living standard, quality of life, globalization and competitiveness in the EU and the neighbour countries - an empirical analysis. Acta Sci.Pol. Oeconomia, 11 (1), 5-21.
  • Nowak, P. (2018). Zróżnicowanie jakości życia mieszkańców gmin wiejskich województwa świętokrzyskiego. Wiadomości Statystyczne, 4 (683), 73-88.
  • Ngobo, P.V., Devallet-Ezanno, D. (2010). Do Generations Matter in Customer Defection? Recherche et Applications en Marketing, 25 (3), 86-112.
  • Parry, E., Urwin, P. (2011). Generational Differences in Work Values: A Review of Theory and Evidence. International Journal of Management Reviews, 13, 79-96. DOI: 10.1111/j.1468-2370.2010.00285.x.
  • Ptak-Chmielewska, A. (2009). Metoda głównych składowych i analiza czynnikowa. In: E. Frątczak (ed.), Wielowymiarowa analiza statystyczna. Teoria - przykłady zastosowań z systemem SAS. Warszawa: Szkoła Główna Handlowa w Warszawie.
  • Sagan, A. (1998). Badania marketingowe. Podstawowe kierunki. Kraków: Wydawnictwo Akademii Ekonomicznej w Krakowie.
  • Soulez, S., Guillot-Soulez, C. (2011). Recruitment marketing and generational segmentation: a critical analysis based on a sub-segment of Generation Y. Recherche et Applications en Marketing, 26 (1).
  • Stanimir, A. (2005). Analiza korespondencji jako narzędzie do badania zjawisk ekonomicznych. Wrocław: Wydawnictwo AE we Wrocławiu.
  • Sztemberg-Lewandowska, M. (2008). Analiza czynnikowa w badaniach marketingowych. Wrocław: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu.
  • Treuren, G., Anderson, K. (2010). The employment expectations of different age cohorts: is generation Y really that different? Australian Journal of Career Development, 19 (2).
  • Twenge, J.M., Campbell, S.M., Hoffman, B.J., Lance, C.E. (2010). Generational Differences in Work Values: Leisure and Extrinsic Values Increasing, Social and Intrinsic Values Decreasing. Journal of Management, 36 (5), 1117-1142. DOI: 10.1177/0149206309352246.
  • Twenge, J.M., King, L.A. (2005). A good life is a personal life: Relationship fulfillment and work fulfillment in judgments of life quality. Journal of Research in Personality, 39, 336-353. DOI: 10.1016/j.jrp.2004.01.004.
  • Vui-Yee1, K., Khoo, P. (2018). The Effect of Work Fulfilment on Job Characteristics and Employee Retention: Gen Y Employees. Global Business Review, 21 (2), 1-15. DOI: 10.1177/0972150918778912.
Typ dokumentu
Bibliografia
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