Vis enkel innførsel

dc.contributor.authorGiske, Toveen_US
dc.contributor.authorArtinian, Barbaraen_US
dc.date.accessioned2010-09-16T11:01:21Z
dc.date.available2010-09-16T11:01:21Z
dc.date.issued2007eng
dc.PublishedInternational Journal of Qualitative Methods 6(4): 67-80en
dc.identifier.issn1609-4069
dc.identifier.urihttps://hdl.handle.net/1956/4186
dc.description.abstractIn this article the authors offer an example of the application of principles of classical grounded theory (Glaser) in data collection and analysis and present how they generated a substantive grounded theory named Preparative Waiting for patients who underwent the diagnostic phase at a gastric ward. They demonstrate how patients’ main concern emerged by constant comparison of data in open coding and how the core category of the theory and related concepts developed through selective coding. The authors offer examples of memos, the fitting of concepts to their data set, and the process of theoretical coding to illustrate how three different models were generated to improve fit, relevance, and workability of their grounded theory. They also discuss when and how to search and read the literature during a grounded theory study.en_US
dc.language.isoengeng
dc.publisherInternational Institute for Qualitative Methodology, University of Albertaeng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/eng
dc.subjectGrounded theoryeng
dc.subjectQualitative methodeng
dc.subjectTheoretical codingeng
dc.titleA Personal Experience of Working with Classical Grounded Theory: From Beginner to Experienced Grounded Theoristen_US
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2007 Giske et al.
dc.rights.holderGiske et al.
dc.subject.nsiVDP::Medisinske Fag: 700::Helsefag: 800::Sykepleievitenskap: 808nob


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution CC BY
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution CC BY