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Related Concept Videos

Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...

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Related Experiment Video

Updated: May 19, 2026

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
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Published on: January 17, 2025

Development and Initial Validation of a Client-Rated MET-CBT Adherence Measure.

Wendy R Ulaszek1, Hsiu-Ju Lin, Linda K Frisman

  • 1University of Connecticut School of Social Work.

Substance Abuse : Research and Treatment
|August 31, 2012
PubMed
Summary
This summary is machine-generated.

Client surveys offer a validated, less resource-intensive method for rating adherence to Motivational Enhancement Therapy-Cognitive Behavioral Treatment (MET-CBT). This approach provides objective quality monitoring compared to traditional methods.

Keywords:
MET-CBTclient ratingsfidelityimplementation

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10:32

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Published on: April 23, 2014

Area of Science:

  • Addiction treatment research
  • Psychotherapy fidelity assessment
  • Behavioral health quality improvement

Background:

  • Traditional methods for assessing treatment adherence and fidelity are often resource-intensive and time-consuming.
  • Accurate measurement of adherence to therapies like Motivational Enhancement Therapy-Cognitive Behavioral Treatment (MET-CBT) is crucial for quality assurance and treatment effectiveness.

Purpose of the Study:

  • To develop and validate a tool for rating adherence to MET-CBT using anonymous client surveys.
  • To assess the feasibility and psychometric properties of client-reported adherence measures.

Main Methods:

  • An instrument was developed to capture client perceptions of adherence to MET-CBT.
  • The tool was administered to clients across three methadone programs over two assessment waves.
  • Explanatory and Confirmatory Factor Analyses were employed to establish construct validity, and Cronbach's alpha was used to assess internal consistency.

Main Results:

  • The client survey demonstrated adequate internal consistency (Cronbach's alpha > 0.70) for most subscales.
  • Interrater reliability, indicated by r(wg(j)) scores, ranged from 0.6 upwards, suggesting moderate to strong agreement among clients rating the same counselor.
  • Factor analyses supported the construct validity of the MET and CBT components of the treatment.

Conclusions:

  • Anonymous client surveys represent a viable, objective, and less resource-intensive alternative to counselor self-reports or supervisor reviews for monitoring MET-CBT adherence.
  • This client-centered approach can enhance quality monitoring in addiction treatment programs.
  • Further research and scale refinement are recommended to optimize this measurement tool.