Buccholz-Kachele2017
Buccholz-Kachele2017 | |
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BibType | ARTICLE |
Key | Buccholz-Kachele2017 |
Author(s) | Michael B. Buchholz, Horst Kächele |
Title | From turn-by-turn to larger chunks of talk: An exploratory study in psychotherapeutic micro-processes using conversation analysis |
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Tag(s) | EMCA, Psychotherapy, Metaphor analysis, Allusion, Empathy |
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Year | 2017 |
Language | English |
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Journal | Research in Psychotherapy: Psychopathology, Process and Outcome |
Volume | 30 |
Number | 3 |
Pages | 161-178 |
URL | Link |
DOI | 10.4081/ripppo.2017.257 |
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Abstract
Independent of theoretical orientation therapies of all kind are talk-in-interaction. Influential overall conceptualizations (as e.g. intervention) belong to a certain model of medicalizing the psychotherapeutic endeavor. Talk-in-interaction is the base for applying Conversation Analysis (CA) in psychotherapeutic process research. CA is a powerful tool originating from social science taking data, hypotheses and theories from careful observing in a similar way as infant observers did. The common discovery is that conversation precedes language. Some features of infantile proto-conversation survive in adult life. CA has directed careful attention to processes like turn-taking, repair, conditional relevances, etc. in observing the rules of interaction. However, in studying psychotherapy process turn-by-turn analysis alone does not suffice. It can be completed by a new model of common ground activities and package-by-package analysis turning attention to new objects of observation in therapeutic conversation (allusions, metaphorical framing activities). We propose a methodology for both kinds of analyses based on transcribed examples from the CEMPP-Project. This exploratory designed project (Conversation analysis of empathy in Psychotherapy Process; supported by the Köhler Foundation, Germany) compared psychoanalytic, psychodynamic and cognitive-behavioral treatments in five dyads each taking transcribed sessions from the beginning, the middle phase and the end; our database includes 45 transcribed sessions.
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