Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25351
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Utilising social network research in the qualitative exploration of gamblers’ social relationships
Author(s): Dobbie, Fiona
Reith, Gerda
McConville, Susan
Contact Email: fiona.dobbie@stir.ac.uk
Keywords: in-depth interviews
longitudinal qualitative research
sociograms
social networks
gambling
concentric circles
name generation
social network research
social network analysis
Issue Date: 1-Apr-2018
Date Deposited: 17-May-2017
Citation: Dobbie F, Reith G & McConville S (2018) Utilising social network research in the qualitative exploration of gamblers’ social relationships. Qualitative Research, 18 (2), pp. 207-223. https://doi.org/10.1177/1468794117710323
Abstract: Social Network Analysis (SNA) is often criticised for being too quantitative in focus and network scientists have commented on a lack of engagement from qualitative researchers. This paper will contribute to these debates by critically reflecting on a qualitative study of gambling where social network research methods were adapted and applied to narrative interviews. Egocentric sociograms (maps of participant social networks, using a name generation question and concentric circles) were created for 23 participants. These sociograms were used as an interactive tool, with the addition of coloured dots, to stimulate discussion and so generate rich narrative and visual data on the impacts of gambling behaviour on participants’ wider social networks. This approach represents an extension to existing SNA methods that has not previously been utilised.
DOI Link: 10.1177/1468794117710323
Rights: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
1468794117710323.pdfFulltext - Published Version330.19 kBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.