Ktisis >
Ακαδημαϊκές Δημοσιεύσεις ΤΕΠΑΚ / CUT Academic Publications >
Σχολή Καλών και Εφαρμοσμένων Τεχνών >
Τμήμα Πολυμέσων και Γραφικών Τεχνών >
Άρθρα/Articles >

Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/jspui/handle/10488/6271

Title: Applying qualitative content analysis to study online support communities
Authors: Zaphiris, Panayiotis
Pfeil, Ulrike
???metadata.dc.subject.field???: Humanities
???metadata.dc.subject.category???: Arts
Keywords: Research
Quality control
Content analysis (Communication)
Older people
People with disabilities
Issue Date: 2010
Publisher: Springer
Citation: Universal access in the information society, 2010, volume 9, issue 1, pages 1-16
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
???metadata.dc.type.*???: Article
ISSN: 1615-5289
???metadata.dc.doi???: http://dx.doi.org/10.1007/s10209-009-0154-3
???metadata.dc.rights???: © Springer-Verlag
???metadata.dc.subject.collaboration???: City University
Cyprus University of Technology
???metadata.dc.subject.country???: United Kingdom
???metadata.dc.subject.journals???: Subscription
Appears in Collections:Άρθρα/Articles

Files in This Item:

There are no files associated with this item.

View Statistics

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


DSpace Software Copyright © 2002-2010  Duraspace - Feedback