Using Mixed-Methods: A Data Model and a Computational Ontology in Film Audience Research

Peter Merrington, Matthew Hanchard, Bridgette Wessels, Michael Pidd, Katherine Rogers, David Forrest, Andrew Higson, Roderik Smits, Nathaniel Townsend, and Simeon Yates

The methodology discussed in this paper was developed as part of the “Beyond the Multiplex: audiences for specialised films in English regions” (BtM) project. This project required a mixed methods approach using surveys, interviews, focus groups and document analysis to explore the richness of audience experiences and trends in the context of regional film policy. This required a mixed methods approach using surveys, interviews, focus groups and document analysis. The project utilised a data model approach that uses the principles of a computational ontology in order to sort, order and categorise data for systematic interrogation. The paper discusses methods, data, coding, and the use of a data model to support data analysis. We argue that this approach enables the cross referencing of data that provides a rich, multi-layered and relational understanding of film audiences but requires time and attention to data management and coding. Although, additionally it also forms the basis of an open access data resource for future research.

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