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A critique of statistical modelling in management science from a critical realist perspective: its role within multimethodology

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  • J Mingers

    (University of Kent)

Abstract

Management science was historically dominated by an empiricist philosophy that saw quantitative modelling and statistical analysis as the only legitimate research method. More recently interpretive or constructivist philosophies have also developed employing a range of non-quantitative methods. This has sometimes led to divisive debates. ‘Critical realism’ has been proposed as a philosophy of science that can potentially provide a synthesis in recognizing both the value and limitations of these approaches. This paper explores the critical realist critique of quantitative modelling, as exemplified by multivariate statistics, and argues that its grounds must be re-conceptualized within a multimethodological framework.

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  • J Mingers, 2006. "A critique of statistical modelling in management science from a critical realist perspective: its role within multimethodology," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 202-219, February.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:2:d:10.1057_palgrave.jors.2601980
    DOI: 10.1057/palgrave.jors.2601980
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    3. M. Nassereddine & M. A. Ellakkis & A. Azar & M. D. Nayeri, 2021. "Developing a Multi-methodology for Conflict Resolution: Case of Yemen’s Humanitarian Crisis," Group Decision and Negotiation, Springer, vol. 30(2), pages 301-320, April.
    4. Tea Golob & Matej Makarovič, 2019. "Reflexivity and Structural Positions: The Effects of Generation, Gender and Education," Social Sciences, MDPI, vol. 8(9), pages 1-23, August.
    5. Richard Ormerod, 2006. "The OR approach to forecasting: comments on Mingers' paper," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(11), pages 1371-1373, November.
    6. Mingers, John, 2015. "Helping business schools engage with real problems: The contribution of critical realism and systems thinking," European Journal of Operational Research, Elsevier, vol. 242(1), pages 316-331.
    7. C Mar-Molinero & J Mingers, 2007. "An evaluation of the limitations of, and alternatives to, the Co-Plot methodology," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(7), pages 874-886, July.
    8. Pianezzi, Daniela & Ashraf, Muhammad Junaid, 2022. "Accounting for ignorance: An investigation into corruption, immigration and the state," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 86(C).
    9. Mike Chiasson & Robert Fildes & Mike Pidd, 2006. "Intelligent thinking instead of critical realism?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(11), pages 1373-1375, November.
    10. Marie-José Avenier & Catherine Thomas, 2015. "Finding one's way around various methodological guidelines for doing rigorous case studies: A comparison of four epistemological frameworks [Se frayer un chemin parmi les différentes recommandation," Post-Print halshs-01491454, HAL.
    11. Michael Wood, 2013. "Making Statistical Methods More Useful," SAGE Open, , vol. 3(1), pages 21582440134, February.
    12. M C Jackson, 2011. "The multi-methodology debate: a response to Harwood," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 811-813, April.
    13. Z Zhu, 2011. "After paradim: why mixing-methodology theorising fails and how to make it work again," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 784-798, April.
    14. Mike C Jackson, 2006. "John Mingers is a critical realist imperialist," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(11), pages 1370-1371, November.
    15. S A Harwood, 2011. "Mixing methodologies and paradigmatic commensurability," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 806-809, April.
    16. J Mingers, 2011. "Clarification or confusion: response to Harwood," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 809-811, April.

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