%0 Thesis
%9 Doctoral
%A Marotti, Julia
%B Psychology and Language Sciences
%D 2023
%F discovery:10178253
%I UCL (University College London)
%P 239
%T The role of trauma, attachment, and voice-hearer’s appraisals: a latent profile analysis
%U https://discovery-pp.ucl.ac.uk/id/eprint/10178253/
%X Part One of this thesis presents a conceptual introduction summarising the  literature on the psychosocial factors of trauma, attachment styles and appraisals of  auditory hallucinations (referred to as voices henceforth) and how this relates to voice  hearing related distress. Despite robust evidence of the association between trauma,  insecure attachment and voice hearing development, prognosis and outcomes, the  complex inter-play between such factors has received little attention. Comment is  provided on the type of methodological approaches typical of such research and  potential improvements are proposed using person-centred data-driven  methodologies such as cluster analyses approaches.  In Part Two an empirical study extends the current literature by investigating  whether there are statistically distinct subgroups of voice hearers based on their selfreported experiences of trauma, the beliefs about the extent that traumas have  thematic links to voices content, the presence of fearful attachment style, and  appraisal of voices. The study also considers the associations between identified  profiles and demographic factors as well as clinical presentation outcomes (including  severity of voices, post-traumatic stress disorder symptoms, emotional distress and  social functioning). This is a secondary data analysis project using data from voice  hearing individuals who are part of a larger randomised controlled trial called  AVATAR2 investigating a novel relational therapy for voice treatment.  Part Three presents a critical appraisal of the process of completing this  research project. This includes a discussion about the different research stages and  the challenges and learning points that occurred. Especially, experience of conducting  secondary data-analysis with a complex statistical methodology is considered, alongside choices that had to be made around the inclusion of specific ethnicity  categories in this study and involvement of Experts by Experience.
%Z Copyright © The Author 2023. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.