IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v28y2009i4p674-689.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.1080.0439
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.1080.0439?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
    ---><---

    References listed on IDEAS

    as
    1. A. Béguin & C. Glas, 2001. "MCMC estimation and some model-fit analysis of multidimensional IRT models," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 541-561, December.
    2. Steven M. Shugan, 2006. "Editorial: Who Is Afraid to Give Freedom of Speech to Marketing Folks?," Marketing Science, INFORMS, vol. 25(5), pages 403-410, September.
    3. Sha Yang & Vishal Narayan & Henry Assael, 2006. "Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model," Marketing Science, INFORMS, vol. 25(4), pages 336-349, July.
    4. Olivier Toubia & Duncan I. Simester & John R. Hauser & Ely Dahan, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Marketing Science, INFORMS, vol. 22(3), pages 273-303.
    5. Eric Bradlow & Howard Wainer & Xiaohui Wang, 1999. "A Bayesian random effects model for testlets," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 153-168, June.
    6. Bearden, William O & Netemeyer, Richard G & Teel, Jesse E, 1989. "Measurement of Consumer Susceptibility to Interpersonal Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 473-481, March.
    7. Martijn G. De Jong & Jan-Benedict E. M. Steenkamp & Jean-Paul Fox, 2007. "Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(2), pages 260-278, June.
    8. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
    9. Wim Linden & Ellen Boekkooi-Timminga, 1989. "A maximin model for IRT-based test design with practical constraints," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 237-247, June.
    10. Jonathan D. Bohlmann & José Antonio Rosa & Ruth N. Bolton & William J. Qualls, 2006. "The Effect of Group Interactions on Satisfaction Judgments: Satisfaction Escalation," Marketing Science, INFORMS, vol. 25(4), pages 301-321, July.
    11. Sunil Gupta & Valarie Zeithaml, 2006. "Customer Metrics and Their Impact on Financial Performance," Marketing Science, INFORMS, vol. 25(6), pages 718-739, 11-12.
    12. 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.
    13. Stefan Stremersch & Peter C. Verhoef, 2005. "Globalization of Authorship in the Marketing Discipline: Does It Help or Hinder the Field?," Marketing Science, INFORMS, vol. 24(4), pages 585-594, February.
    14. Edward Ip, 2000. "Adjusting for information inflation due to local dependency in moderately large item clusters," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 73-91, March.
    15. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    16. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    17. Sen, Sankar & Gurhan-Canli, Zeynep & Morwitz, Vicki, 2001. "Withholding Consumption: A Social Dilemma Perspective on Consumer Boycotts," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(3), pages 399-417, December.
    18. A. Ben-Tal & A. Nemirovski, 1998. "Robust Convex Optimization," Mathematics of Operations Research, INFORMS, vol. 23(4), pages 769-805, November.
    19. Olivier Toubia & Laurent Florès, 2007. "Adaptive Idea Screening Using Consumers," Marketing Science, INFORMS, vol. 26(3), pages 342-360, 05-06.
    20. Aaker, Jennifer & Benet-Martinez, Veronica & Garolera, Jordi, 2001. "Consumption Symbols as Carriers of Culture: A Study of Japanese and Spanish Brand Personality Constructs," Research Papers 1668r, Stanford University, Graduate School of Business.
    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. Maud Dampérat & Ping Lei & Florence Jeannot, 2019. "IRT Approach for rating scales: applications for normal and non-normal distributions," Post-Print hal-04325043, HAL.
    2. John Patrick Lalor & Pedro Rodriguez, 2023. "py-irt : A Scalable Item Response Theory Library for Python," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 5-13, January.
    3. Ingenbleek, Paul T.M. & Tessema, Workneh Kassa & van Trijp, Hans C.M., 2013. "Conducting field research in subsistence markets, with an application to market orientation in the context of Ethiopian pastoralists," International Journal of Research in Marketing, Elsevier, vol. 30(1), pages 83-97.
    4. Ling Peng & Geng Cui & Yuho Chung & Chunyu Li, 2019. "A multi-facet item response theory approach to improve customer satisfaction using online product ratings," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 960-976, September.
    5. Salim Moussa, 2016. "A two-step item response theory procedure for a better measurement of marketing constructs," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(1), pages 28-50, March.
    6. 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).
    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. Bernard Veldkamp, 2013. "Application of robust optimization to automated test assembly," Annals of Operations Research, Springer, vol. 206(1), pages 595-610, July.
    9. van Ewijk, Bernadette J. & Gijsbrechts, Els & Steenkamp, Jan-Benedict E.M., 2022. "What drives brands’ price response metrics? An empirical examination of the Chinese packaged goods industry," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 288-312.
    10. Wang, Luming & Finn, Adam, 2013. "Dual-faceted multidimensional IRT models with hierarchical structure," Australasian marketing journal, Elsevier, vol. 21(2), pages 111-118.
    11. Salim Moussa, 2021. "Measuring brand personality using emoji: findings from Mokken scaling," Journal of Brand Management, Palgrave Macmillan, vol. 28(2), pages 116-132, March.
    12. Muirne C. S. Paap & Qiwei He & Bernard P. Veldkamp, 2015. "Selecting Testlet Features With Predictive Value for the Testlet Effect," SAGE Open, , vol. 5(2), pages 21582440155, April.
    13. 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.
    14. 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.

    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. Wang, Luming & Finn, Adam, 2013. "Dual-faceted multidimensional IRT models with hierarchical structure," Australasian marketing journal, Elsevier, vol. 21(2), pages 111-118.
    2. de Jong, M.G., 2006. "Response bias in international marketing research," Other publications TiSEM 5d4031be-97b5-4db3-962b-2, Tilburg University, School of Economics and Management.
    3. Strizhakova, Yuliya & Coulter, Robin A. & Price, Linda L., 2008. "The meanings of branded products: A cross-national scale development and meaning assessment," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 82-93.
    4. (Sandy) Zhang, Sha & van Doorn, Jenny & Leeflang, Peter S.H., 2014. "Does the importance of value, brand and relationship equity for customer loyalty differ between Eastern and Western cultures?," International Business Review, Elsevier, vol. 23(1), pages 284-292.
    5. Martijn Jong & Jan-Benedict Steenkamp, 2010. "Finite Mixture Multilevel Multidimensional Ordinal IRT Models for Large Scale Cross-Cultural Research," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 3-32, March.
    6. R. Klein Entink & J.-P. Fox & W. Linden, 2009. "A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 21-48, March.
    7. Fabian Bartsch & Katharina Petra Zeugner-Roth & Constantine S. Katsikeas, 2022. "Consumer authenticity seeking: conceptualization, measurement, and contingent effects," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 296-323, March.
    8. Wenqing Chen & Melvyn Sim & Jie Sun & Chung-Piaw Teo, 2010. "From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization," Operations Research, INFORMS, vol. 58(2), pages 470-485, April.
    9. Stefan Mišković, 2017. "A VNS-LP algorithm for the robust dynamic maximal covering location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1011-1033, October.
    10. Minjiao Zhang & Simge Küçükyavuz & Saumya Goel, 2014. "A Branch-and-Cut Method for Dynamic Decision Making Under Joint Chance Constraints," Management Science, INFORMS, vol. 60(5), pages 1317-1333, May.
    11. Padilla, Juan L. & Azevedo, Caio L.N. & Lachos, Victor H., 2018. "Multidimensional multiple group IRT models with skew normal latent trait distributions," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 250-268.
    12. Nana Kim & Daniel M. Bolt & James Wollack, 2022. "Noncompensatory MIRT For Passage-Based Tests," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 992-1009, September.
    13. M. J. Naderi & M. S. Pishvaee, 2017. "Robust bi-objective macroscopic municipal water supply network redesign and rehabilitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2689-2711, July.
    14. Stadler Blank, Ashley & Koenigstorfer, Joerg & Baumgartner, Hans, 2018. "Sport team personality: It’s not all about winning!," Sport Management Review, Elsevier, vol. 21(2), pages 114-132.
    15. Mínguez, R. & García-Bertrand, R., 2016. "Robust transmission network expansion planning in energy systems: Improving computational performance," European Journal of Operational Research, Elsevier, vol. 248(1), pages 21-32.
    16. Chassein, André & Goerigk, Marc, 2018. "Compromise solutions for robust combinatorial optimization with variable-sized uncertainty," European Journal of Operational Research, Elsevier, vol. 269(2), pages 544-555.
    17. Lacroix, Caroline & Jolibert, Alain, 2017. "Mediational role of perceived personal legacy value between consumer agentic generativity and attitudes/buying intentions toward luxury brands," Journal of Business Research, Elsevier, vol. 77(C), pages 203-211.
    18. Antonio G. Martín & Manuel Díaz-Madroñero & Josefa Mula, 2020. "Master production schedule using robust optimization approaches in an automobile second-tier supplier," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 143-166, March.
    19. Hamed Mamani & Shima Nassiri & Michael R. Wagner, 2017. "Closed-Form Solutions for Robust Inventory Management," Management Science, INFORMS, vol. 63(5), pages 1625-1643, May.
    20. Bhukya, Ramulu & Paul, Justin, 2023. "Social influence research in consumer behavior: What we learned and what we need to learn? – A hybrid systematic literature review," Journal of Business Research, Elsevier, vol. 162(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:inm:ormksc:v:28:y:2009:i:4:p:674-689. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.