Mingers, John (2006) A Critique of Statistical Modelling in Management Science from a Critical Realist Perspective: Its Role Within Multimethodology. Journal of the Operational Research Society, 57 (2). pp. 202-219. ISSN 0160-5682. (doi:10.1057/palgrave.jors.2601980) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:3924)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://doi.org/10.1057/palgrave.jors.2601980 |
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-conceptualised within a multimethodological framework.
Item Type: | Article |
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DOI/Identification number: | 10.1057/palgrave.jors.2601980 |
Uncontrolled keywords: | Critical realism, critique, mathematical modelling, multimethodology, multiple regression, philosophy of OR, statistical modelling |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD29 Operational Research - Applications |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | John Mingers |
Date Deposited: | 08 Sep 2008 11:44 UTC |
Last Modified: | 05 Nov 2024 09:35 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/3924 (The current URI for this page, for reference purposes) |
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