Zhang, Jenn Qian;
(2018)
A game theory perspective on social cognitions in non-clinical paranoia.
Doctoral thesis (D.Clin.Psy), UCL (University College London).
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Abstract
This thesis explores experiences of individuals experiencing paranoia. Part one presents a systematic literature review of current research of behavioural strategies for managing paranoid experiences in the clinical and non-clinical populations. Results suggest that individuals engage in a range of coping and safety-seeking behaviours in response to experiences of paranoia. There is some evidence to suggest the impact of these behavioural strategies on paranoid experiences, distress and other factors relating to mental health. Overall, research in this area is limited, and further studies are required. Part two presents an empirical paper investigating social cognition in non-clinical paranoia using an online Prisoner’s Dilemma Game task. Participants’ beliefs and expectations of the other player predicted behaviour during the task. Results suggest that the Prisoner’s Dilemma Game is an effective tool in exploring social cognitive processes underlying non-clinical paranoia during a dyadic interaction. Part three presents a critical appraisal of the research presented in the empirical paper. It reflects on the process of research, as well as the benefits and limitations of internet-mediated research.
Type: | Thesis (Doctoral) |
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Qualification: | D.Clin.Psy |
Title: | A game theory perspective on social cognitions in non-clinical paranoia |
Event: | UCL (University College London) |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
UCL classification: | UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10056354 |
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