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Examining the cross-national applicability of multi-item, multi-dimensional measures using generalizability theory

Author

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  • S Durvasula

    (College of Business Administration, Marquette University, Milwaukee, WI, USA)

  • R G Netemeyer

    (McIntire School of Commerce, University of Virginia, Virginia, USA)

  • J C Andrews

    (Department Of Marketing, Marquette University, Milwaukee, WI, USA)

  • S Lysonski

    (Department Of Marketing, Marquette University, Milwaukee, WI, USA)

Abstract

Establishing the applicability of multi-item measures is important for making valid inferences when testing theories cross-nationally. Typically, researchers have relied upon the tenets of classical measurement theory (CT) using confirmatory factor model invariance testing to conclude that a unidimensional measure is applicable across countries. However, two important issues remain unresolved via CT techniques: (1) if the measure is found not to be invariant, CT tells us little as to why the measure varies across countries; and (2) if the measure is multi-dimensional, what factors affect its cross-national applicability? Our research seeks to address these issues and the cross-national measurement applicability of multi-dimensional scales via generalizability theory (GT). In this paper, we use a cross-national data set and simulated data sets to demonstrate the usefulness of GT to cross-national multi-dimensional measurement. Journal of International Business Studies (2006) 37, 469–483. doi:10.1057/palgrave.jibs.8400210

Suggested Citation

  • S Durvasula & R G Netemeyer & J C Andrews & S Lysonski, 2006. "Examining the cross-national applicability of multi-item, multi-dimensional measures using generalizability theory," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 37(4), pages 469-483, July.
    • Handle: RePEc:pal:jintbs:v:37:y:2006:i:4:p:469-483
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    Cited by:

    1. Bartels, Frank L. & Napolitano, Francesco & Tissi, Nicola E., 2014. "FDI in Sub-Saharan Africa: A longitudinal perspective on location-specific factors (2003–2010)," International Business Review, Elsevier, vol. 23(3), pages 516-529.
    2. Stuart Auken & William J. Ritchie & Ludmilla Gricenko Wells & Daniel J. Borgia, 2019. "Exploring thought processing similarity using attitudinal constructs: a Chinese versus U.S. contrast," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(1), pages 13-23, March.
    3. Chao C. Chen & Joseph P. Gaspar & Ray Friedman & William Newburry & Michael C. Nippa & Katherine Xin & Ronaldo Parente, 2017. "Paradoxical Relationships Between Cultural Norms of Particularism and Attitudes Toward Relational Favoritism: A Cultural Reflectivity Perspective," Journal of Business Ethics, Springer, vol. 145(1), pages 63-79, September.
    4. Taras, Vas & Rowney, Julie & Steel, Piers, 2009. "Half a century of measuring culture: Review of approaches, challenges, and limitations based on the analysis of 121 instruments for quantifying culture," Journal of International Management, Elsevier, vol. 15(4), pages 357-373, December.
    5. Cristina Gimenez & Vicenta Sierra, 2013. "Sustainable Supply Chains: Governance Mechanisms to Greening Suppliers," Journal of Business Ethics, Springer, vol. 116(1), pages 189-203, August.
    6. Drea Zigarmi & Kim Nimon & Dobie Houson & David Witt & Jim Diehl, 2012. "The Work Intention Inventory: Initial Evidence of Construct Validity," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 1(1), pages 24-42, April.
    7. Samuel Marleau Ouellet & Joseph Facal & Louis Hébert, 2015. "Understanding Cultural Difference Management through Charles Taylor’s Philosophy: Case Studies from the Food Processing Industry," Administrative Sciences, MDPI, vol. 5(2), pages 1-25, April.

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