IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v48y2014i1p493-506.html
   My bibliography  Save this article

An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic cultures

Author

Listed:
  • Jiaming Fang
  • Chao Wen
  • Victor Prybutok

Abstract

Little research exists that addresses the equivalence in collectivistic cultures of paper- versus Internet-based surveys. This study addressed this gap and examined the measurement equivalence of individual innovativeness scales between Internet surveys and paper-based surveys within a collectivistic culture (with China serving as our example). The study analyzed and compared survey data from both paper and web-based surveys using confirmatory factor analysis. The assessment of invariance included the levels of configural, metric, scalar, and covariance invariance. The means and variance of latent variables were also compared. The results show that measurements are invariant at the two levels (configural and metric), and the covariances between latent variables are also equivalent, but the mean and variance differences of latent variables are apparent. The results indicate that when conducting research in collectivistic cultures and collecting data from distinct survey modes, researchers should concern themselves with the potential of extreme response patterns and the inclination of social desirability responding, as well as considering the measurement invariance across survey modes. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Jiaming Fang & Chao Wen & Victor Prybutok, 2014. "An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic cultures," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 493-506, January.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:1:p:493-506
    DOI: 10.1007/s11135-012-9783-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-012-9783-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-012-9783-3?utm_source=ideas
    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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Eldad Davidov & Felix Depner, 2011. "Testing for measurement equivalence of human values across online and paper-and-pencil surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 375-390, February.
    2. Tellis, Gerard J. & Chandrasekaran, Deepa, 2010. "Extent and impact of response biases in cross-national survey research," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 329-341.
    3. Holger Steinmetz & Peter Schmidt & Andrea Tina-Booh & Siegrid Wieczorek & Shalom Schwartz, 2009. "Testing measurement invariance using multigroup CFA: differences between educational groups in human values measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(4), pages 599-616, July.
    4. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    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. Joseph A. Cazier & Benjamin B. M. Shao & Robert D. St. Louis, 2007. "Sharing information and building trust through value congruence," Information Systems Frontiers, Springer, vol. 9(5), pages 515-529, November.
    2. Cheng, Junjun & Chen, Bo & Huang, Zihang, 2023. "Collective-based ad transparency in targeted hotel advertising: Consumers’ regulatory focus underlying the crowd safety effect," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    4. Hwang, ShinYoung & Kim Seongcheol, 2017. "What triggers the use of mIM service provider’s sequel O2O service extensions?," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168494, International Telecommunications Society (ITS).
    5. Wu Li & Pengya Ai & Annette Ding, 2023. "More Than Just Numbers: How Engagement Metrics Influence User Intention to Pay for Online Knowledge Products," SAGE Open, , vol. 13(1), pages 21582440221, January.
    6. Nitin Walia & Mark Srite & Wendy Huddleston, 2016. "Eyeing the web interface: the influence of price, product, and personal involvement," Electronic Commerce Research, Springer, vol. 16(3), pages 297-333, September.
    7. Mario Silic & Andrea Back, 2016. "The Influence of Risk Factors in Decision-Making Process for Open Source Software Adoption," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 151-185, January.
    8. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    9. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    10. Lin Jia & Xiuwei Song & Dianne Hall, 2022. "Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective," Information Systems Frontiers, Springer, vol. 24(1), pages 247-266, February.
    11. Song, Lianlian & Hu, Baixue & Mou, Jian, 2021. "Investigating consumer binge-watching behavior: A valence framework perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    12. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    13. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    14. Fang Di & Richards Timothy J. & Grebitus Carola, 2019. "Modeling Product Choices in a Peer Network," Forum for Health Economics & Policy, De Gruyter, vol. 22(1), pages 1-13, June.
    15. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    16. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    17. Jung Lee & Jae-Nam Lee & Bernard C. Y. Tan, 2015. "Antecedents of cognitive trust and affective distrust and their mediating roles in building customer loyalty," Information Systems Frontiers, Springer, vol. 17(1), pages 159-175, February.
    18. Yoon, Hyun Shik & Occeña, Luis G., 2015. "Influencing factors of trust in consumer-to-consumer electronic commerce with gender and age," International Journal of Information Management, Elsevier, vol. 35(3), pages 352-363.
    19. Chen, Ying-Hueih & Hsu, I-Chieh & Lin, Chia-Chen, 2010. "Website attributes that increase consumer purchase intention: A conjoint analysis," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1007-1014, September.
    20. Qin, Li & De-Juan-Vigaray, María D., 2021. "Social commerce: Is interpersonal trust formation similar between U.S.A. and Spain?," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).

    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:spr:qualqt:v:48:y:2014:i:1:p:493-506. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.