Predicting Dropout in Counseling Using Affect Coding of the Therapeutic Relationship: An Empirical Analysis

Autor:	Ashley J. Luedke, Paul R. Peluso, Robert R Freund, Andrew Z. Baker, Patricia Diaz
Rok vydání:	2017
Předmět:	050103 clinical psychology Therapeutic processes 05 social sciences Coding (therapy) Affect (psychology) behavioral disciplines and activities Session (web analytics) Therapeutic relationship 050106 general psychology & cognitive sciences Discriminant function analysis 0501 psychology and cognitive sciences Observational study Psychology Applied Psychology Dropout (neural networks) Clinical psychology
Zdroj:	Journal of Counseling & Development. 95:125-134
ISSN:	0748-9633
Popis:	This study used an observational research method to examine affective counselor–client exchanges during the initial session of counseling for clients who dropped out of counseling and clients who remained in counseling. Results confirmed significant differences in the affect codes of clients and counselors between the 2 groups. Discriminant function analyses classified 77% of counselors and clients in the correct groups and correctly classified over 94% of clients who returned for 4 or more sessions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::853a424214ad3d6e266f3adb2359b0a2 https://doi.org/10.1002/jcad.12125 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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