Meta-analysis of the effectiveness of behavioral activator therapy on adolescent depression

Document Type : Research Paper

Authors

1 Ph.D. Student in Educational Psychology, University of MohagheghArdabili, Ardebil, Iran.

2 Professor and Member of Scientific Research Faculty of Psychology, University of Mohaghegh Ardebili

Abstract

Introduction: The meta-analysis method determines the effect size of treatment methods by integrating the results of various studies. By performing meta-analysis, a more general view of the effect of different interventions can be obtained. The aim of this study was to determine the effectiveness of behavioral activator therapy on the rate of depression, which has been done by meta-analysis. Methods For this purpose, out of 15 studies, 8 studies, which were methodologically acceptable, were selected and meta-analysis was performed on them. Relevant statistical analyzes have been performed using comprehensive CMA 2 software.
Methods: For this purpose, out of 15 studies, 8 studies, which were methodologically acceptable, were selected and meta-analysis was performed on them. Relevant statistical analyzes have been performed using comprehensive CMA 2 software. The results showed that behavioral activator therapy was significantly effective on depression at an error level of less than 05% and the overall effect size in terms of correlation scale was 633%; According to the difference of the standard mean of 11.857 and based on the characteristic of hedges g, 1.70 was reported.
Conclusion:According to the research findings, therapy based on behavioral activation as a practical method can help reduce the symptoms of adolescent depression and can be used by therapists as an effective method in treatment sessions. Using this method, depressed adolescents can become active members of society and improve their participation in social activities.

Keywords

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Psychological Models and Methods
Volume 13, Issue 47
May 2022
Pages 161-174

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History

  • Receive Date: 10 November 2021
  • Revise Date: 18 May 2022
  • Accept Date: 13 July 2022

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