IDEAS home Printed from https://ideas.repec.org/a/eee/aumajo/v22y2014i2p93-102.html
   My bibliography  Save this article

A psychometric theory that measures up to marketing reality: An adapted Many Faceted IRT model

Author

Listed:
  • Wang, Luming
  • Finn, Adam

Abstract

符合市场行销现实的心理计量学理论:

Suggested Citation

  • 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.
  • Handle: RePEc:eee:aumajo:v:22:y:2014:i:2:p:93-102
    DOI: 10.1016/j.ausmj.2013.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1441358213000566
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ausmj.2013.11.001?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. Rossi P. E & Gilula Z. & Allenby G. M, 2001. "Overcoming Scale Usage Heterogeneity: A Bayesian Hierarchical Approach," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 20-31, March.
    2. Peter E. Rossi & Greg M. Allenby, 2003. "Bayesian Statistics and Marketing," Marketing Science, INFORMS, vol. 22(3), pages 304-328, July.
    3. 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.
    4. 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.
    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. 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.
    7. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
    8. Netemeyer, Richard G. & Krishnan, Balaji & Pullig, Chris & Wang, Guangping & Yagci, Mehmet & Dean, Dwane & Ricks, Joe & Wirth, Ferdinand, 2004. "Developing and validating measures of facets of customer-based brand equity," Journal of Business Research, Elsevier, vol. 57(2), pages 209-224, February.
    9. Eric T. Bradlow & Neal Thomas, 1998. "Item Response Theory Models Applied to Data Allowing Examinee Choice," Journal of Educational and Behavioral Statistics, , vol. 23(3), pages 236-243, September.
    10. Yoo, Boonghee & Donthu, Naveen, 2001. "Developing and validating a multidimensional consumer-based brand equity scale," Journal of Business Research, Elsevier, vol. 52(1), pages 1-14, April.
    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. Brush, Gregory J. & Soutar, Geoffrey N., 2022. "A Rasch analysis of service performance in a tourism context," Journal of Business Research, Elsevier, vol. 139(C), pages 338-353.

    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. Marc R. Dotson & Joachim Büschken & Greg M. Allenby, 2020. "Explaining Preference Heterogeneity with Mixed Membership Modeling," Marketing Science, INFORMS, vol. 39(2), pages 407-426, March.
    3. Anselmsson, Johan & Burt, Steve & Tunca, Burak, 2017. "An integrated retailer image and brand equity framework: Re-examining, extending, and restructuring retailer brand equity," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 194-203.
    4. 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.
    5. Boisvert, Jean & Christodoulides, George & Sajid Khan, M., 2023. "Toward a better understanding of key determinants and consequences of masstige consumption," Journal of Business Research, Elsevier, vol. 161(C).
    6. Lang, Le Dang & Lim, Weng Marc & Guzmán, Francisco, 2022. "How does promotion mix affect brand equity? Insights from a mixed-methods study of low involvement products," Journal of Business Research, Elsevier, vol. 141(C), pages 175-190.
    7. Tuck Siong Chung & Roland T. Rust & Michel Wedel, 2009. "My Mobile Music: An Adaptive Personalization System for Digital Audio Players," Marketing Science, INFORMS, vol. 28(1), pages 52-68, 01-02.
    8. Salzberger, Thomas & Newton, Fiona J. & Ewing, Michael T., 2014. "Detecting gender item bias and differential manifest response behavior: A Rasch-based solution," Journal of Business Research, Elsevier, vol. 67(4), pages 598-607.
    9. Kapoor, Ankur & Sahay, Arvind & Singh, Nandini C. & Chandrasekhar Pammi, V.S. & Banerjee, Prantosh, 2023. "The neural correlates and the underlying processes of weak brand choices," Journal of Business Research, Elsevier, vol. 154(C).
    10. Coderre, François & Sirieix, Lucie & Valette-Florence, Pierre, 2022. "The facets of consumer-based food label equity: Measurement, structure and managerial relevance," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    11. Pankaj Kumar Singh & J. K. Pattanayak, 2016. "Study of the Relationship among the Factors of Brand Equity: A Study on Fast-food Brands," Global Business Review, International Management Institute, vol. 17(5), pages 1227-1239, October.
    12. Raffaele Filieri & Zhibin Lin & Simona D’Antone & Elena Chatzopoulou, 2019. "A cultural approach to brand equity: the role of brand mianzi and brand popularity in China," Journal of Brand Management, Palgrave Macmillan, vol. 26(4), pages 376-394, July.
    13. Deli Yang & Mahmut Sonmez & Mario Gonzalez & Yi Liu & Carol Y. Yoder, 2019. "Consumer-based brand equity and consumer-based brand performance: evidence from smartphone brands in the USA," Journal of Brand Management, Palgrave Macmillan, vol. 26(6), pages 717-732, November.
    14. Tsuen-Ho Hsu & Li-Chu Hung & Jia-Wei Tang, 2012. "An analytical model for building brand equity in hospitality firms," Annals of Operations Research, Springer, vol. 195(1), pages 355-378, May.
    15. Muhammad Ishtiaq Ishaq & Eleonora Di Maria, 2020. "Sustainability countenance in brand equity: a critical review and future research directions," Journal of Brand Management, Palgrave Macmillan, vol. 27(1), pages 15-34, January.
    16. Rina Makgosa & Boikanyo A. Molefhi, 2012. "Rebranding an Institution of Higher Education in Botswana," Business and Economic Research, Macrothink Institute, vol. 2(2), pages 1-13, December.
    17. Prashant Kumar & Tao Meng & Sajal Kabiraj, 2019. "Effect of Crowdsourcing on Consumer Brand Perceptions and Behavioral Intentions," Business Perspectives and Research, , vol. 7(1), pages 42-58, January.
    18. Assaf, A. George & Tsionas, Mike & Oh, Haemoon, 2018. "The time has come: Toward Bayesian SEM estimation in tourism research," Tourism Management, Elsevier, vol. 64(C), pages 98-109.
    19. Lai-Fa Hung & Wen-Chung Wang, 2012. "The Generalized Multilevel Facets Model for Longitudinal Data," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 231-255, April.
    20. Jean-Paul Fox & Joris Mulder & Sandip Sinharay, 2017. "Bayes Factor Covariance Testing in Item Response Models," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 979-1006, December.

    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:eee:aumajo:v:22:y:2014:i:2:p:93-102. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/australasian-marketing-journal/ .

    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.