IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/62-soc-2015.html
   My bibliography  Save this paper

Grounded and Normative Dimensions of National Pride in Comparative Perspective

Author

Listed:
  • Marharyta Fabrykant

    (National Research University Higher School of Economics)

  • Vladimir Magun

    (National Research University Higher School of Economics)

Abstract

The objective of this paper is to describe cross-country similarities and differences in national pride and to explain national pride variations on the individual and country levels. The analysis in this paper is applied to different measures of national pride, with some of them being relatively complex cognitively and the others more elementary. The paper presents the results of cross-country comparison of national pride based on empirical evidence from the ISSP-2003 database which included data from 45993 respondents from 36 countries and regions. The survey participants estimated their overall level of national pride by responding to the direct one-item question and, separately, they estimated pride of each of ten specific achievements of their countries in various domains. Factor analysis of these ten items yielded two dimensions of domain-based national pride, one of them being the factor of general pride of various country achievements and the other reflects the inverse relations between the prides of elitist and mass achievements of the nation. The multilevel regression models estimated for the three indicators of national pride confirm the feasibility of dividing these indicators into cognitively processed and normatively imposed national pride. Cognitively processed national pride measured by the domain-based estimates have been affected by objective country achievements and by the level of standards which the achievements are compared against. The normatively imposed national pride measured by direct one-item question has been influenced by the country level of religiosity that indicates the individual willingness to accept normative messages from the state uncritically. Rational national pride requires some objective grounds to believe in a nation’s perfection, and normative national pride is not so strongly related to objective achievements and therefore can be more easily manipulated. The practical implication of this difference stems from the fact that in their search for objectively grounded national pride people would be eager to foster country achievements and their maintenance of normatively imposed pride requires in many cases just reliably protected wishful thinking

Suggested Citation

  • Marharyta Fabrykant & Vladimir Magun, 2015. "Grounded and Normative Dimensions of National Pride in Comparative Perspective," HSE Working papers WP BRP 62/SOC/2015, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:62/soc/2015
    as

    Download full text from publisher

    File URL: http://www.hse.ru/data/2015/04/28/1098372529/62SOC2015.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leonie Huddy & Nadia Khatib, 2007. "American Patriotism, National Identity, and Political Involvement," American Journal of Political Science, John Wiley & Sons, vol. 51(1), pages 63-77, January.
    2. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    3. Ronald Inglehart & Roberto Foa & Eduard Ponarin & Christian Welzel, 2013. "Understanding the Russian malaise: The collapse and recovery of subjective well-being in post-communist Russia," HSE Working papers WP BRP 32/SOC/2013, National Research University Higher School of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Philip S. Morrison, 2016. "Pride and the city," REGION, European Regional Science Association, vol. 3, pages 103-124.
    2. Marlene Mußotter, 2022. "We do not measure what we aim to measure: Testing Three Measurement Models for Nationalism and Patriotism," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2177-2197, August.

    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. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    2. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    3. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.
    4. Akinwumi Sharimakin & Rasheed O. Alao & Oluseyi Omosuyi, 2024. "Foreign remittances, deprivation and patriotism," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 753-780, February.
    5. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    6. Liangyuan Hu & Lihua Li, 2022. "Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    7. Norah Alyabs & Sy Han Chiou, 2022. "The Missing Indicator Approach for Accelerated Failure Time Model with Covariates Subject to Limits of Detection," Stats, MDPI, vol. 5(2), pages 1-13, May.
    8. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    9. Ida Kubiszewski & Kenneth Mulder & Diane Jarvis & Robert Costanza, 2022. "Toward better measurement of sustainable development and wellbeing: A small number of SDG indicators reliably predict life satisfaction," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 139-148, February.
    10. Georges Steffgen & Philipp E. Sischka & Martha Fernandez de Henestrosa, 2020. "The Quality of Work Index and the Quality of Employment Index: A Multidimensional Approach of Job Quality and Its Links to Well-Being at Work," IJERPH, MDPI, vol. 17(21), pages 1-31, October.
    11. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    12. Esef Hakan Toytok & Sungur Gürel, 2019. "Does Project Children’s University Increase Academic Self-Efficacy in 6th Graders? A Weak Experimental Design," Sustainability, MDPI, vol. 11(3), pages 1-12, February.
    13. J M van Niekerk & M C Vos & A Stein & L M A Braakman-Jansen & A F Voor in ‘t holt & J E W C van Gemert-Pijnen, 2020. "Risk factors for surgical site infections using a data-driven approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    14. Joost R. Ginkel, 2020. "Standardized Regression Coefficients and Newly Proposed Estimators for $${R}^{{2}}$$R2 in Multiply Imputed Data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 185-205, March.
    15. Lara Jehi & Xinge Ji & Alex Milinovich & Serpil Erzurum & Amy Merlino & Steve Gordon & James B Young & Michael W Kattan, 2020. "Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    16. Matthew Carli & Mary H. Ward & Catherine Metayer & David C. Wheeler, 2022. "Imputation of Below Detection Limit Missing Data in Chemical Mixture Analysis with Bayesian Group Index Regression," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    17. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    18. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    19. Debra Javeline & Tracy Kijewski-Correa & Angela Chesler, 2019. "Does it matter if you “believe” in climate change? Not for coastal home vulnerability," Climatic Change, Springer, vol. 155(4), pages 511-532, August.
    20. Simon Grund & Oliver Lüdtke & Alexander Robitzsch, 2018. "Multiple Imputation of Missing Data at Level 2: A Comparison of Fully Conditional and Joint Modeling in Multilevel Designs," Journal of Educational and Behavioral Statistics, , vol. 43(3), pages 316-353, June.

    More about this item

    Keywords

    national pride; rational and normative pride; cross-country comparisons; multilevel regression model.;
    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:62/soc/2015. 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.