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A methodological review of exploring Turner’s Three-Process Theory of power and the social identity approach
Citation
Ye, M and Ollington, N and de Salas, K, A methodological review of exploring Turner's Three-Process Theory of power and the social identity approach, Qualitative Sociology Review, 12, (4) pp. 120-137. ISSN 1733-8077 (2016) [Refereed Article]
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Copyright Statement
Copyright 2016 QSR
Official URL: http://www.qualitativesociologyreview.org/ENG/volu...
Abstract
Turner’s Three-Process Theory of Power together with Social Identity Theory (SIT) and Self-Categorization Theory (SCT) have been influential in social psychology to examine power-related behaviors. While positivist experimental and survey methods are common in social psychological studies, these approaches may not adequately consider Turner’s constructs due to a comparative lack of ecological validity. Drawing on a methodology-focused review of the existing research of applying aspects of Turner’s theory of power and SIT/SCT, the interpretivist case study approach by using interviews and other data collections is highlighted as an alternative and useful method to the application of Turner’s framework. The applicability of the interpretive case study approach is further emphasized in comparison with the positivist experiments and surveys. This paper also discusses how this new way of exploration may allow us to understand Turner’s work better.
Item Details
Item Type: | Refereed Article |
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Keywords: | interpretivist, positivist, social identity, power, ecological validity, experiment, survey, case study |
Research Division: | Information and Computing Sciences |
Research Group: | Information systems |
Research Field: | Information security management |
Objective Division: | Information and Communication Services |
Objective Group: | Other information and communication services |
Objective Field: | Other information and communication services not elsewhere classified |
UTAS Author: | Ye, M (Dr Michelle Ye) |
UTAS Author: | Ollington, N (Dr Nadia Ollington) |
UTAS Author: | de Salas, K (Associate Professor Kristy de Salas) |
ID Code: | 112073 |
Year Published: | 2016 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2016-10-26 |
Last Modified: | 2017-09-13 |
Downloads: | 1 View Download Statistics |
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