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Scientific progress in measurement theory?

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  • John R. Rossiter

    (University of Wollongong)

Abstract

This article is a response to the March, 2013, special issue of the AMS Review, which was purportedly about “scientific progress in marketing” but in fact was about measurement in marketing. Even narrower than that, the special issue was about “formative measurement” in marketing. The present article contends that the problems raised by the special issue’s authors were solved earlier by Rossiter’s C-OAR-SE measurement theory. Four key references on C-OAR-SE theory (Rossiter in Int J Res Mark 19(4):305–335, 2002; Bergkvist and Rossiter in J Mark Res 44(2):175–184, 2007; Rossiter’s 2011a book; Rossiter in Eur J Market 45(11/12):1589–1600, 2011b) are revisited to explain how continued ignorance of C-OAR-SE principles has stifled progress in measurement in all the social sciences.

Suggested Citation

  • John R. Rossiter, 2013. "Scientific progress in measurement theory?," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 171-179, September.
    • Handle: RePEc:spr:amsrev:v:3:y:2013:i:3:d:10.1007_s13162-013-0048-7
    DOI: 10.1007/s13162-013-0048-7
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    References listed on IDEAS

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    1. Nick Lee & John W. Cadogan & Laura Chamberlain, 2013. "The MIMIC model and formative variables: problems and solutions," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 3-17, March.
    2. Roy D. Howell, 2013. "Conceptual clarity in measurement—Constructs, composites, and causes: a commentary on Lee, Cadogan and Chamberlain," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 18-23, March.
    3. Edward E. Rigdon, 2013. "Lee, Cadogan, and Chamberlain: an excellent point . . . But what about that iceberg?," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 24-29, March.
    4. Coleman, Richard P, 1983. "The Continuing Significance of Social Class to Marketing," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(3), pages 265-280, December.
    5. Rossiter, John R. & Braithwaite, Bradley, 2013. "C-OAR-SE-based single-item measures for the two-stage Technology Acceptance Model," Australasian marketing journal, Elsevier, vol. 21(1), pages 30-35.
    6. Adamantios Diamantopoulos, 2013. "MIMIC models and formative measurement: some thoughts on Lee, Cadogan & Chamberlain," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 30-37, March.
    7. John Rossiter, 2012. "A new C-OAR-SE-based content-valid and predictively valid measure that distinguishes brand love from brand liking," Marketing Letters, Springer, vol. 23(3), pages 905-916, September.
    8. Rossiter, John R, 2003. "How to Construct a Test of Scientific Knowledge in Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 305-310, September.
    9. V. L. Crittenden & R. A. Peterson, 2013. "Scientific progress in marketing," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 1-2, March.
    10. Rossiter, John R., 2003. "Qualifying the importance of findings," Journal of Business Research, Elsevier, vol. 56(1), pages 85-88, January.
    11. Dolnicar, Sara & Rossiter, John R., 2008. "The low stability of brand-attribute associations is partly due to market research methodology," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 104-108.
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