Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3945
Title: | Applying qualitative content analysis to study online support communities | Authors: | Zaphiris, Panayiotis Pfeil, Ulrike |
metadata.dc.contributor.other: | Ζαφείρης, Παναγιώτης | Major Field of Science: | Humanities | Field Category: | Arts | Keywords: | Research;Quality control;Methodology;Communication;Content analysis (Communication);Older people;People with disabilities | Issue Date: | 2010 | Source: | Universal Access in the Information Society, 2010, vol. 9, no. 1, pp. 1-16 | Volume: | 9 | Issue: | 1 | Start page: | 1 | End page: | 16 | Journal: | Universal Access in the Information Society | Abstract: | With the increasing popularity of online support communities for people with disabilities and older people, the research domain of online communities is gaining more and more research potential in the area of inclusive design. There are many studies that investigate social interactions within online communities. However, researchers seem to apply a variety of different methods in very different ways. This makes it often difficult to decide on the appropriate method. In order to provide guidance to researchers in the area of inclusive design, this paper reviews past research in this area and presents a self-contained methodology that is based on qualitative content analysis for studying social interactions in online support communities for people with special needs. A case study from an online community for older people is presented in order to set the theory into context | URI: | https://hdl.handle.net/20.500.14279/3945 | ISSN: | 16155297 | DOI: | 10.1007/s10209-009-0154-3 | Rights: | © Springer Nature | Type: | Article | Affiliation : | City University London Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
61
checked on Nov 9, 2023
WEB OF SCIENCETM
Citations
20
50
Last Week
0
0
Last month
1
1
checked on Oct 29, 2023
Page view(s) 5
671
Last Week
4
4
Last month
6
6
checked on Dec 21, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.