QUALITATIVE COMPARISON ANALYSIS: AN EXAMPLE ANALYSIS OF CLINICAL DIRECTORATES AND RESOURCE MANAGEMENT

Malcolm J. Beynon, Aoife McDermott and Mary A. Keating
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Malcolm J. Beynon: Cardiff Business School, Cardiff University, Colum Drive, Cardiff, CF10 3EU, UK
Aoife McDermott: Cardiff Business School, Cardiff University, Colum Drive, Cardiff, CF10 3EU, UK
Mary A. Keating: School of Business, Trinity College of Dublin, Ireland

Chapter 16 in Quantitative Modelling in Marketing and Management, 2012, pp 391-404 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractQualitative Comparison Analysis (QCA) is an innovative analytical technique that bridges the gap between qualitative and quantitative approaches to research. Grounded in set theory, it allows the analyst to make causal about the structure of relationships between variables and outcomes. This is achieved through the identification of multiple configuration of causal conditions leading to an outcome of interest. QCA has typically been viewed as a small and medium-N approach although it is increasingly being applied to large-N datasets. This chapter describes the variants and rudiments of the QCA technique. These are illustrated with reference to a tutorial example and a real-world application that considers alternative configurations of causal conditions associated with clinician involvement in resource management in Irish hopitals.

Keywords: Quantitative Modelling; Statistical; Computer; Marketing; Neural Networks; Fuzzy Logic; k-Clique Model; Meta-heuristics (search for similar items in EconPapers)
Date: 2012
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