The uses of qualitative data in multimethodology: Developing causal loop diagrams during the coding process

• Theoretical background is multimethodology, paradigm crossing and integrated bridging strategy.
• Three case studies from organisational change and entrepreneurial study illustrate the method.
• The method has the potential to improve dynamic sensibility in qualitative data analysis.
• Improves rigor in developing CLDs during the formation stage of system dynamics modelling.
• Recommendation that exploration of dynamic behaviour is contemporaneous with coding in CAQDAS.

In this research note we describe a method for exploring the creation of causal loop diagrams (CLDs) from the coding trees developed through a grounded theory approach and using computer aided qualitative data analysis software (CAQDAS). The theoretical background to the approach is multimethodology, in line with Minger’s description of paradigm crossing and is appropriately situated within the Appreciate and Analyse phases of PSM intervention. The practical use of this method has been explored and three case studies are presented from the domains of organisational change and entrepreneurial studies. The value of this method is twofold; (i) it has the potential to improve dynamic sensibility in the process of qualitative data analysis, and (ii) it can provide a more rigorous approach to developing CLDs in the formation stage of system dynamics modelling. We propose that the further development of this method requires its implementation within CAQDAS packages so that CLD creation, as a precursor to full system dynamics modelling, is contemporaneous with coding and consistent with a bridging strategy of paradigm crossing.