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Predictors of Loneliness

Koffler, Yosef; (2021) Predictors of Loneliness. Doctoral thesis (Ph.D), UCL (University College London). Green open access

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This thesis explores how interpersonal behavioural patterns, internal working models, personality traits, and positive and negative emotional characteristics interact and impact human behaviour. Part one consists of a systematic review and a meta-analysis exploring the relationship between Attachment and Personality through an examination of the literature in English that examine this relationship. Personality was operationalised through the Big Five model, and Attachment through the standard three Attachment styles. 15 different analyses were conducted in order to explore all the possible combinations of the three Attachment styles and the five Personality traits. The literature was scrutinised through a thorough quality assessment and risk of biases assessment. Part two is an empirical research paper exploring different predictors of Loneliness through the prism of interpersonal behavioral patterns, and an internal working model. These were explored through Attachment, Interpersonal problems, Compassion, and Shame. The aim of this study was to understand better how maladaptive patterns of emotional and behavioural functions can lead an individual to be and feel lonely. This is a quantitative study utilising a battery of five different measures with data from 92 participants. Part three is a critical appraisal offering a reflection on both preceding parts. It emphasizes an overview of the whole process and ends with a reflection on the conclusions of both studies. During the reflection issues regarding Loneliness and better care for clients are raised.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Predictors of Loneliness
Event: UCL (University College London)
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2021. 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.
UCL classification: UCL
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.ucl.ac.uk/id/eprint/10121897
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