Wessels, B., Hanchard, M., Higson, A. et al. (7 more authors) (2019) Using mixed-methods, a data model and a computational ontology in film audience research. Cultural Trends, 28 (2-3). pp. 118-131. ISSN 0954-8963
Abstract
This paper discusses a methodology that seeks to address one of the challenges in working with a range of data in mixed-methods audience research, which is how to sort, order and categorise different data so that it can be systematically combined and interrogated. The methodology was developed as part of the ‘Beyond the Multiplex: audiences for specialised films in English regions’(BtM) project . This project sought to explore the richness of audience experiences and the broad audience 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 it 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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | film; audiences; mixed-methods; data model; computational ontologies |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Arts and Humanities (Sheffield) > School of English (Sheffield) |
Funding Information: | Funder Grant number Arts and Humanities Research Council (AHRC) AH/P005780/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 May 2019 13:35 |
Last Modified: | 25 Jul 2019 11:08 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/09548963.2019.1617934 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145859 |