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A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales

Author

Listed:
  • Martijn G. de Jong

    (Department of Marketing Management, Rotterdam School of Management, Erasmus University, 3062 PA Rotterdam, The Netherlands)

  • Jan-Benedict E. M. Steenkamp

    (Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599)

  • Bernard P. Veldkamp

    (Department of Research Methodology, Measurement and Data Analysis, University of Twente, 7500 AE Enschede, The Netherlands)

Abstract

In the last few decades, the measurement of marketing constructs has improved tremendously. Our discipline has also started to systematically catalogue our measurement knowledge in influential handbooks of marketing scales. However, at least two important issues remain. First, existing scales are often too long for administration in nonstudent samples or in applied studies. Second, existing (U.S.-developed) scales may contain items that are not informative about the underlying construct in particular countries, whereas relevant items tapping into local cultural expressions of the construct in question may be missing. To address these issues, we propose a new model that yields country-specific yet fully cross-nationally comparable short forms of unidimensional marketing scales. The procedure is based on hierarchical item response theory and optimal test design. The procedure is flexible in the sense that the researcher can specify various constraints on item content, scale length, and measurement precision. Because our procedure allows inclusion of country-specific (or “emic”) items in standardized (or “etic”) scales, it presents an important step toward resolving the emic-etic dilemma that has plagued international marketing research for decades.

Suggested Citation

  • Martijn G. de Jong & Jan-Benedict E. M. Steenkamp & Bernard P. Veldkamp, 2009. "A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales," Marketing Science, INFORMS, vol. 28(4), pages 674-689, 07-08.
  • Handle: RePEc:inm:ormksc:v:28:y:2009:i:4:p:674-689
    DOI: 10.1287/mksc.1080.0439
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    3. Wang, Luming & Finn, Adam, 2014. "A psychometric theory that measures up to marketing reality: An adapted Many Faceted IRT model," Australasian marketing journal, Elsevier, vol. 22(2), pages 93-102.
    4. Csilla Horváth & Feray Adigüzel & Hester van Herk, 2013. "Cultural Aspects Of Compulsive Buying In Emerging And Developed Economies: A Cross Cultural Study In Compulsive Buying," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(2).
    5. Wang, Luming & Finn, Adam, 2013. "Dual-faceted multidimensional IRT models with hierarchical structure," Australasian marketing journal, Elsevier, vol. 21(2), pages 111-118.
    6. Mariagiulia Matteucci & Bernard Veldkamp, 2013. "On the use of MCMC computerized adaptive testing with empirical prior information to improve efficiency," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 243-267, June.
    7. Khan, M. Sajid & Naumann, Earl & Haverila, Matti J., 2014. "The problem with standardizing international market research: A case study from B2B services," Australasian marketing journal, Elsevier, vol. 22(2), pages 84-92.
    8. Maud Dampérat & Ping Lei & Florence Jeannot, 2019. "IRT Approach for rating scales: applications for normal and non-normal distributions," Post-Print hal-04325043, HAL.
    9. Bernard Veldkamp, 2013. "Application of robust optimization to automated test assembly," Annals of Operations Research, Springer, vol. 206(1), pages 595-610, July.
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