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The significant difference paradigm promotes bad science

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  • Hubbard, Raymond
  • Lindsay, R. Murray

Abstract

The present paper addresses questions raised by Ball and Sawyer (2013--this issue) on Hubbard and Lindsay´s (this issue) article. In particular, it responds explicitly to their concerns about the possible drawbacks of using overlapping confidence intervals as a measure of significant sameness, and whether or not a “straw man” argument is being offered. Importantly, this article elaborates on other critical elements of the significant sameness paradigm, including the notion of predictive precision, and the fact that this paradigm accurately describes how real science progresses.

Suggested Citation

  • Hubbard, Raymond & Lindsay, R. Murray, 2013. "The significant difference paradigm promotes bad science," Journal of Business Research, Elsevier, vol. 66(9), pages 1393-1397.
  • Handle: RePEc:eee:jbrese:v:66:y:2013:i:9:p:1393-1397
    DOI: 10.1016/j.jbusres.2012.05.004
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    References listed on IDEAS

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    Cited by:

    1. Kristina Haberstroh & Ulrich R. Orth & Stefan Hoffmann & Berit Brunk, 2017. "Consumer Response to Unethical Corporate Behavior: A Re-Examination and Extension of the Moral Decoupling Model," Journal of Business Ethics, Springer, vol. 140(1), pages 161-173, January.
    2. Davidsson, Per, 2015. "Data replication and extension: A commentary," Journal of Business Venturing Insights, Elsevier, vol. 3(C), pages 12-15.
    3. Adler, Susanne Jana & Röseler, Lukas & Schöniger, Martina Katharina, 2023. "A toolbox to evaluate the trustworthiness of published findings," Journal of Business Research, Elsevier, vol. 167(C).
    4. Gray, Rob & Milne, Markus J., 2015. "It's not what you do, it's the way that you do it? Of method and madness," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 32(C), pages 51-66.

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