Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.825595
Title: Predictors of loneliness
Author: Koffler, Yosef
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2021
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Abstract:
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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.825595  DOI: Not available
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