The predicton of perceived experience and behavior change levels of clients in counseling process regarding some variables
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Abstract (EN)
Purpose of this study was to examine client's experience and behavior change levels according to perceived social support, gender, number of the sessions they attended and problem solving styles. This study is a descriptive field research. The sample of this study consisted of 200 clients who had counseling from counselor trainees, attending Guidance and Counseling Undergratuade Program at different 12 state universities in 2011-2012 and 2012-2013 academic years. Multidimensional Scale of Perceived Social Support, Problem Solving Inventory, The Change in Experiences and Behaviors Scale were used in order to collecting data. Also informed consent form and inform letters developed by the researcher were used to inform clients and counselor trainees. Multiple linear hierarchical regression was used to analyze whether clients' experience and behavior change levels predicted by clients' attended session numbers, gender, perceived social support and problem solving styles. The result of this study indicated that clients' experience and behavior change levels were not predicted by clients' gender, perceived social support, problem solving styles and session number. Quick-tempered problem solving, avoidant problem solving, evaluator problem solving, self-confident problem solving, planned problem solving did not predict clients' experience and behavior change level. The relationship between these problem solving styles with experience and behavior change level was also found insignificant. The only problem solving style is thinking style which has a relationship in a negative and significant way with clients' experience and behavior change levels.
Author
Aslıhan Gümüşkaşık
Institution
Ege University
Division of Guidance and Psychological Counseling
How to Cite
Aslıhan Gümüşkaşık (Master Thesis). The predicton of perceived experience and behavior change levels of clients in counseling process regarding some variables, 2019, Ege University.
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