A Critique of Statistical Modelling in Management Science from a Critical Realist Perspective: Its Role Within Multimethodology

Mingers, J. (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. (The full text of this publication is not available from this repository)

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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
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: Faculties > Social Sciences > Kent Business School
Depositing User: John Mingers
Date Deposited: 08 Sep 2008 11:44
Last Modified: 14 Jan 2010 14:13
Resource URI: http://kar.kent.ac.uk/id/eprint/3924 (The current URI for this page, for reference purposes)
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