London Metropolitan University
"Reading between the lines" : a grounded theory study of text-based synchronous online therapy : how practitioners establish therapeutic relationships online
Abstract
dc:description.abstractThis qualitative research study explored the therapeutic relationship in online therapy from a counselling psychology perspective. An overview of the different types of online therapy and a brief history of the field were given and the existing literature surrounding online therapy and the therapeutic relationship was critically reviewed. Through this, a need was identified for an understanding of how therapeutic relationships are established in online therapy, with a particular focus on therapy via instant messaging. Semi-structured interviews were conducted asking online therapy practitioners about their experiences of therapeutic relationships. The resulting data were analysed using the grounded theory method and a tentative model of the processes that influence the formation of a therapeutic relationship online was created. An important factor in the model was therapists’ development of skills in online communication, which serve to overcome the lack of a physical presence and non-verbal communication that hinder text-based interactions. Another key influence was the management of the therapeutic frame, which is challenged by the nature of the online setting. Also significant was a client’s rationale for choosing online therapy, which influences their ability to engage in a therapy relationship online. The implications of the findings for counselling psychology professional practice, training and research were discussed.
Degree
thesis:*- Name dc:type.qualificationname
- other
- Level dc:type.qualificationlevel
- doctoral
- Grantor dc:publisher.institution
- London Metropolitan University
- Year dc:date.issued
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Simpson, Catherine
Subjects
dc:subject × 1Identifiers
dc:identifier.*- Dc Identifier Grantnumber
- N/A
- OAI identifier oai:identifier
- oai:repository.londonmet.ac.uk:1138