z-logo
open-access-imgOpen Access
Contextual Positioning
Author(s) -
Nicholas Ralph,
Melanie Birks,
Ysanne Chapman
Publication year - 2014
Publication title -
sage open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
ISSN - 2158-2440
DOI - 10.1177/2158244014552425
Subject(s) - extant taxon , interactivity , reflexivity , context (archaeology) , process (computing) , data collection , data science , grounded theory , computer science , value (mathematics) , contextual design , sociology , qualitative research , world wide web , geography , artificial intelligence , social science , archaeology , evolutionary biology , machine learning , object (grammar) , biology , operating system
The use of documents as a source of extant data is relatively common in grounded theory (GT) research. While GT promotes the dictum "all is data," finding consistent commentary on how to use documents as data is difficult, especially among seminal works. The need to be aware of the context of extant data is a vital step prior to commencing analysis, especially in view of the lack of physical interaction between the researcher and that data. Contextual positioning is proposed as a tool that can be used to prepare extant data for analysis. Contextual positioning enhances the interactivity of the data collection process and positions the researcher before the document in a more reflexive manner. A model of contextual positioning is presented in this article to assist researchers in positioning extant data (such as documents) more reflexively. A concrete example of the use of this method is outlined to promote understanding of the value of this process

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom