IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/51-soc-2014.html
   My bibliography  Save this paper

The Stability Of The Value Typology Of Europeans: Testing Invariance With Confirmatory Latent Class Analysis

Author

Listed:
  • Maksim Rudnev

    (National Research University Higher School of Economics)

  • Vladimir Magun

    (National Research University Higher School of Economics)

  • Peter Schmidt

    (University of Giessen,)

Abstract

Unlike variable-centered measures, validity and stability of typologies have been rarely studied. Magun, Rudnev and Schmidt [in review] developed a value typology of the European population using data from the 4th round of the European Social Survey. The value classes showed heuristic power in the comparison of different parts of the European population, countries in particular, enabling more differentiated interpretations in a parsimonious way. The current paper tests the stability of this typology by extending the study to three time points – consecutive surveys in 2008, 2010 and 2012. Conceptually, this test coincides with measurement invariance testing. We reviewed the levels of typology measurement invariance. Then, the invariance of the value typology of Europeans was tested across three rounds of the ESS and it was found to hold configural and partial invariance. The reliability of the value classes was supported by the stability of country class probabilities across the time points as well. The correlations of the country shares of the value classes with the economic development of countries are also invariant at the three time points. The results imply that the value classification of Europeans is not ad hoc, but reflects the natural structure of European societies, and can be used in future studies.

Suggested Citation

  • Maksim Rudnev & Vladimir Magun & Peter Schmidt, 2014. "The Stability Of The Value Typology Of Europeans: Testing Invariance With Confirmatory Latent Class Analysis," HSE Working papers WP BRP 51/SOC/2014, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:51/soc/2014
    as

    Download full text from publisher

    File URL: http://www.hse.ru/data/2014/08/29/1313633672/51SOC2014.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    2. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
    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. Thøgersen, John, 2017. "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, Elsevier, vol. 102(C), pages 73-87.
    2. Thøgersen, John, 2018. "Transport-related lifestyle and environmentally-friendly travel mode choices: A multi-level approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 166-186.
    3. Ewa Genge & Francesco Bartolucci, 2022. "Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(2), pages 235-271, June.
    4. Martin Lukac & Nadja Doerflinger & Valeria Pulignano, 2019. "Developing a Cross-National Comparative Framework for Studying Labour Market Segmentation: Measurement Equivalence with Latent Class Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 233-255, August.
    5. Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt, 2016. "Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 209-224, June.
    6. Yifan Zhu & Chongzhi Di & Ying Qing Chen, 2019. "Clustering Functional Data with Application to Electronic Medication Adherence Monitoring in HIV Prevention Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 238-261, July.
    7. Tsukasa Kato, 2021. "Measurement Invariance in the Center for Epidemiologic Studies-Depression (CES-D) Scale among English-Speaking Whites and Asians," IJERPH, MDPI, vol. 18(10), pages 1-10, May.
    8. Knoppen, Desirée & Sáenz, María Jesús, 2017. "Interorganizational teams in low-versus high-dependence contexts," International Journal of Production Economics, Elsevier, vol. 191(C), pages 15-25.
    9. Anselmsson, Johan & Burt, Steve & Tunca, Burak, 2017. "An integrated retailer image and brand equity framework: Re-examining, extending, and restructuring retailer brand equity," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 194-203.
    10. Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari, 2018. "A data driven equivariant approach to constrained Gaussian mixture modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 235-260, June.
    11. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    12. Yeung, Matthew C.H. & Ramasamy, Bala & Chen, Junsong & Paliwoda, Stan, 2013. "Customer satisfaction and consumer expenditure in selected European countries," International Journal of Research in Marketing, Elsevier, vol. 30(4), pages 406-416.
    13. Kipnis, Eva & Demangeot, Catherine & Pullig, Chris & Broderick, Amanda J., 2019. "Consumer Multicultural Identity Affiliation: Reassessing identity segmentation in multicultural markets," Journal of Business Research, Elsevier, vol. 98(C), pages 126-141.
    14. Gil, J.M. & Diaz-Montenegro, J. & Varela, E., 2018. "A Bias-Adjusted Three-Step approach for analysing the livelihood strategies and the asset mix of cacao producers in Ecuador," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277215, International Association of Agricultural Economists.
    15. Matanda, Margaret Jekanyika & Freeman, Susan, 2009. "Effect of perceived environmental uncertainty on exporter-importer inter-organisational relationships and export performance improvement," International Business Review, Elsevier, vol. 18(1), pages 89-107, February.
    16. Stadler Blank, Ashley & Koenigstorfer, Joerg & Baumgartner, Hans, 2018. "Sport team personality: It’s not all about winning!," Sport Management Review, Elsevier, vol. 21(2), pages 114-132.
    17. Layland, Eric K. & Maggs, Jennifer L. & Kipke, Michele D. & Bray, Bethany C., 2022. "Intersecting racism and homonegativism among sexual minority men of color: Latent class analysis of multidimensional stigma with subgroup differences in health and sociostructural burdens," Social Science & Medicine, Elsevier, vol. 293(C).
    18. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    19. Ankica Kosic & Tamara Džamonja Ignjatović & Nebojša Petrović, 2021. "A Cross-Cultural Study of Distress during COVID-19 Pandemic: Some Protective and Risk Factors," IJERPH, MDPI, vol. 18(14), pages 1-15, July.
    20. Elke Cabooter & Bert Weijters & Alain Beuckelaer & Eldad Davidov, 2017. "Is extreme response style domain specific? Findings from two studies in four countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2605-2622, November.

    More about this item

    Keywords

    basic human values; latent class analysis; measurement invariance; heterogeneity; European population;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values

    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:hig:wpaper:51/soc/2014. 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.