IDEAS home Printed from
   My bibliography  Save this paper

Measurement invariance in comparative Internet use research


  • Büchi, Moritz


Comparative studies in communication and Internet research call for equivalent measures of key constructs that are comparable across populations. This article details and applies the concept of measurement invariance within a cross-nationally comparative context. Multi-group confirmatory factor analysis is used to test configural, metric, and scalar invariance in an empirical example and structural equation modeling introduces exogenous predictors of Internet use types. Results support metric invariance for a four-factor Internet usage model in three English-speaking countries. The significance of measurement invariance testing for unbiased comparative research is discussed.

Suggested Citation

  • Büchi, Moritz, 2016. "Measurement invariance in comparative Internet use research," MediArXiv 42h39, Center for Open Science.
  • Handle: RePEc:osf:mediar:42h39
    DOI: 10.31219/

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item

    References listed on IDEAS

    1. Andrés, Luis & Cuberes, David & Diouf, Mame & Serebrisky, Tomás, 0. "The diffusion of the Internet: A cross-country analysis," Telecommunications Policy, Elsevier, vol. 34(5-6), pages 323-340, June.
    2. Kiiski, Sampsa & Pohjola, Matti, 2002. "Cross-country diffusion of the Internet," Information Economics and Policy, Elsevier, vol. 14(2), pages 297-310, June.
    3. 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.
    4. Stegmueller, Daniel, 2011. "Apples and Oranges? The Problem of Equivalence in Comparative Research," Political Analysis, Cambridge University Press, vol. 19(4), pages 471-487.
    5. Ellen Helsper & Monica M. Gerber, 2012. "The plausibility of cross-national comparisons of internet use types," LSE Research Online Documents on Economics 42956, London School of Economics and Political Science, LSE Library.
    6. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    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. Zhang, Xiaoqun, 2013. "Income disparity and digital divide: The Internet Consumption Model and cross-country empirical research," Telecommunications Policy, Elsevier, vol. 37(6), pages 515-529.
    2. Lüdering, Jochen, 2014. "The measurement of internet availability and quality in the context of the discussion on digital divide," Discussion Papers 65, Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU).
    3. Dohse, Dirk & Lim, Cheng Yee, 2016. "Macro-geographic location and internet adoption in poor countries: What is behind the persistent digital gap?," Kiel Working Papers 2067, Kiel Institute for the World Economy (IfW Kiel).
    4. Carlos Miguel Lemos & Ross Joseph Gore & Ivan Puga-Gonzalez & F LeRon Shults, 2019. "Dimensionality and factorial invariance of religiosity among Christians and the religiously unaffiliated: A cross-cultural analysis based on the International Social Survey Programme," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-36, May.
    5. Penard, Thierry & Poussing, Nicolas & Mukoko, Blaise & Tamokwe Piaptie, Georges Bertrand, 2015. "Internet adoption and usage patterns in Africa: Evidence from Cameroon," Technology in Society, Elsevier, vol. 42(C), pages 71-80.
    6. Dmitriy Poznyak & Bart Meuleman & Koen Abts & George Bishop, 2014. "Trust in American Government: Longitudinal Measurement Equivalence in the ANES, 1964–2008," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 741-758, September.
    7. Thierry PENARD & Nicolas POUSSING & Gabriel ZOMO YEBE & Philémon NSI ELLA, 2012. "Comparing the Determinants of Internet and Cell Phone Use in Africa: Evidence from Gabon," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(86), pages 65-83, 2nd quart.
    8. André Pirralha & Wiebke Weber, 2020. "Correction for measurement error in invariance testing: An illustration using SQP," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    9. Yaël Drunen & Bram Spruyt & Filip Droogenbroeck, 2021. "The Salience of Perceived Societal Conflict in Europe: A 27 Country Study on the Development of a Measure for Generalized Conflict Thinking," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(2), pages 595-635, December.
    10. Ingmar Leijen & Hester van Herk, 2021. "Health and Culture: The Association between Healthcare Preferences for Non-Acute Conditions, Human Values and Social Norms," IJERPH, MDPI, vol. 18(23), pages 1-15, December.
    11. Corrado Benassi & Marcella Scrimitore, 2017. "Income Distribution in Network Markets," Journal of Industry, Competition and Trade, Springer, vol. 17(3), pages 251-271, September.
    12. Boris Sokolov, 2019. "Sensitivity Of Goodness Of Fit Indices To Lack Of Measurement Invariance With Categorical Indicators And Many Groups," HSE Working papers WP BRP 86/SOC/2019, National Research University Higher School of Economics.
    13. PENARD Thierry & POUSSING Nicolas & ZOMO YEBE Gabriel & NSI ELLA Philémon, 2012. "Usage d'Internet et du téléphone mobile en Afrique : une comparaison des déterminants d'adoption sur données gabonaises," LISER Working Paper Series 2012-15, Luxembourg Institute of Socio-Economic Research (LISER).
    14. Feng, Guangchao Charles, 2015. "Determinants of Internet diffusion: A focus on China," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 176-185.
    15. T. W. G. Meer & E. Ouattara, 2019. "Putting ‘political’ back in political trust: an IRT test of the unidimensionality and cross-national equivalence of political trust measures," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 2983-3002, November.
    16. Daniel L. Oberski, 2016. "A Review of Latent Variable Modeling With R," Journal of Educational and Behavioral Statistics, , vol. 41(2), pages 226-233, April.
    17. Braun, Erik & Zenker, Sebastian, 2022. "In governments we trust: A two-country Brexit field experiment on perceived uncertainty as mediator for consumer decisions," Journal of Business Research, Elsevier, vol. 138(C), pages 335-346.
    18. Claudia Marino & C. M. Hirst & C. Murray & A. Vieno & Marcantonio M. Spada, 2018. "Positive Mental Health as a Predictor of Problematic Internet and Facebook Use in Adolescents and Young Adults," Journal of Happiness Studies, Springer, vol. 19(7), pages 2009-2022, October.
    19. Margarita Billon & Fernando Lera-Lopez & Rocio Marco, 2016. "ICT use by households and firms in the EU: links and determinants from a multivariate perspective," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(4), pages 629-654, November.
    20. Holendro Singh Chungkham & Michael Ingre & Robert Karasek & Hugo Westerlund & Töres Theorell, 2013. "Factor Structure and Longitudinal Measurement Invariance of the Demand Control Support Model: An Evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH)," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-11, August.

    More about this item


    Access and download statistics


    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:osf:mediar:42h39. 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: OSF (email available below). General contact details of provider: .

    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.