Dissertation
TREATMENT DELIVERY: IMPROVING PSYCHOTHERAPEUTIC RESULTS BY INTEGRATING AFFECTIVE FORECASTING PRINCIPLES
Doctor of Philosophy (PhD), Washington State University
01/2016
Handle:
https://hdl.handle.net/2376/12041
Abstract
Research suggests that factors within the therapeutic environment such as the therapeutic alliance and client motivation are strongly tied to treatment success, yet the majority of psychotherapy research focuses on overall treatment modules and/or intervention tasks rather than the specific ways therapists might influence their clients through the way treatments are delivered. This research experiment integrates affective forecasting (AF) research to study whether the delivery of a psychotherapeutic intervention affects participants' level of impact bias, treatment participation, and outcome. Analyses were conducted on data collected from a longitudinal online experiment completed Fall 2013 - Spring 2014 that randomly assigned participants to one of three conditions: delivery, delivery AF, or control. It was predicted that delivery condition and AF levels would affect participation and outcome variables. Analyses revealed that the manipulation was unsuccessful at creating a significant difference in AF levels across the intervention groups. Levels of AF were associated with length of time spent on the task at T-1 and college adjustment. Results had small effect sizes, suggesting that significance was related to the large sample size. Limitations of the study and future directions were discussed.
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Details
- Title
- TREATMENT DELIVERY
- Creators
- Emilia Ruth Brown
- Contributors
- Paul Kwon (Advisor)Bruce R Wright (Committee Member)Sarah L Tragesser (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Psychology, Department of
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Number of pages
- 56
- Identifiers
- 99900581729901842
- Language
- English
- Resource Type
- Dissertation