Starkey, J (2025) The Role of Social Categorisation in Predicting Support for Digital and Physical Counter-Terror Measures. Doctoral thesis, Liverpool John Moores University.

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Abstract

This research makes original contribution to the relevance of self-categorisation theory to predicting support for digital and physical counter-terror measures.
Five studies feature multi-cultural data (India, Poland, UK, USA)
Vignette terrorist scenarios with manipulation of variables (suspect gender, nationality, religious identity). Self report questionnaires examined personality variables, trust in media, trust in authorities. Additional vignettes cover meta-stereotypes, and different types of threat.
Data analysed via ANOVA and Standard Multiple Regressions.
Self Categorisation Theory was supported with relation to suspect religious identity. Study samples from Poland and UK displayed gender stereotypes in the context of support for punitive measures.
Results have implications for how presentation of counter-terror measures can be made more acceptable to public by manipulation of suspect out groupness.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Counter-Terrorism
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Divisions:	Psychology (from Sep 2019)
SWORD Depositor:	A Symplectic
Date Deposited:	10 Mar 2025 16:01
Last Modified:	10 Mar 2025 16:02
DOI or ID number:	10.24377/LJMU.t.00025749
Supervisors:	Palace, M, Kewley, S and Wheatcroft, J
URI:	https://researchonline.ljmu.ac.uk/id/eprint/25749

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