- Title
- Self-compassion as a mediator of the attachment and resilience relationship
- Creator
- Gordon, Jessica A.
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2018
- Description
- Masters Coursework - Master of Clinical Psychology (MClinPsych)
- Description
- Studies have examined the relationships between attachment, self-compassion, and resilience, but no study has yet investigated the joint relationship between all three constructs. The current study aimed to address this significant gap in the literature, with a special focus on the possible mediating role of self-compassion. A partial mediation model was hypothesized and evaluated. A non-clinical sample of 506 (397 females) adults completed an online survey. Both attachment anxiety and avoidance, were negatively correlated with both self-compassion and resilience, and self-compassion was positively correlated with resilience. Structural equation modelling revealed that both attachment anxiety and avoidance, had a negative and direct effect on both self-compassion and resilience, and self-compassion had a positive and direct effect on resilience. The partial mediation effects of self-compassion were weak. The results of this study support that self-compassion can be partly explained by attachment, and both attachment and self-compassion are partly involved in the development of resilience, but the effects of attachment and self-compassion on resilience are largely independent of each other. Directions for future research, limitations, and clinical implications are discussed.
- Subject
- self-compassion; attachment; resilience
- Identifier
- http://hdl.handle.net/1959.13/1388370
- Identifier
- uon:32749
- Rights
- Copyright 2018 Jessica A. Gordon
- Language
- eng
- Full Text
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Thumbnail | File | Description | Size | Format | |||
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View Details Download | ATTACHMENT01 | Thesis | 1 MB | Adobe Acrobat PDF | View Details Download | ||
View Details Download | ATTACHMENT02 | Abstract | 118 KB | Adobe Acrobat PDF | View Details Download |