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

Ashley J. Luedke; Paul R. Peluso; Patricia Diaz; Robert R. Freund; Andrew Z. Baker

doi:10.1002/jcad.12125

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

Ashley J. Luedke, Paul R. Peluso^*, Patricia Diaz, Robert R. Freund, Andrew Z. Baker

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	American English
Pages (from-to)	125-134
Number of pages	10
Journal	Journal of Counseling and Development
Volume	95
Issue number	2
Early online date	Mar 16 2017
DOIs	https://doi.org/10.1002/jcad.12125
State	Published - Apr 2017
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2017 by the American Counseling Association. All rights reserved.

ASJC Scopus Subject Areas

Applied Psychology

Keywords

affective exchanges
counselor training
dropout
therapeutic relationship

Access to Document

10.1002/jcad.12125

Cite this

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

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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