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Alliance and Cohesion Predicting Outcome in Group Psychotherapy: A Structural Equation Model Meta-Analysis.

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Title: Alliance and Cohesion Predicting Outcome in Group Psychotherapy: A Structural Equation Model Meta-Analysis.
Authors: Henderson, Tate (AUTHOR), Bingham, Jacob (AUTHOR), Hoose, Gabriel (AUTHOR), Paxton, Tate (AUTHOR), Thackeray, Michaela (AUTHOR), Alldredge, Cameron (AUTHOR), Burlingame, Gary (AUTHOR)
Source: International Journal of Group Psychotherapy. Jan2026, Vol. 76 Issue 1, p101-128. 28p.
Subjects: Group psychotherapy, Social cohesion, Affiliation (Psychology), Structural equation modeling, Treatment effectiveness, Patient-professional relations
Abstract: Within group psychotherapy, previous meta-analyses have shown that the client-therapist relationship (alliance) and group relationships (cohesion) both predict client improvement. Accounting for the inherent connection between alliance and cohesion, we meta-analyzed studies (k = 14) that individually measured alliance, cohesion, and an outcome among group therapy participants. A random-effects, two-stage structural equation model found that alliance (b =.12) and cohesion (b =.12) uniquely predicted outcome and were statistically indistinguishable. Findings replicate past meta-analyses. Alliance and cohesion are highly related, and both uniquely predict outcome. Minimal studies and large heterogeneity limit generalizability, but we encourage clinicians to foster all therapeutic relationships and we provide researchers with suggestions for future work. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Group Psychotherapy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Group+Psychotherapy%22">International Journal of Group Psychotherapy</searchLink>. Jan2026, Vol. 76 Issue 1, p101-128. 28p.
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  Data: <searchLink fieldCode="DE" term="%22Group+psychotherapy%22">Group psychotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Social+cohesion%22">Social cohesion</searchLink><br /><searchLink fieldCode="DE" term="%22Affiliation+%28Psychology%29%22">Affiliation (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+effectiveness%22">Treatment effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Patient-professional+relations%22">Patient-professional relations</searchLink>
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  Data: Within group psychotherapy, previous meta-analyses have shown that the client-therapist relationship (alliance) and group relationships (cohesion) both predict client improvement. Accounting for the inherent connection between alliance and cohesion, we meta-analyzed studies (k = 14) that individually measured alliance, cohesion, and an outcome among group therapy participants. A random-effects, two-stage structural equation model found that alliance (b =.12) and cohesion (b =.12) uniquely predicted outcome and were statistically indistinguishable. Findings replicate past meta-analyses. Alliance and cohesion are highly related, and both uniquely predict outcome. Minimal studies and large heterogeneity limit generalizability, but we encourage clinicians to foster all therapeutic relationships and we provide researchers with suggestions for future work. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Group Psychotherapy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/00207284.2025.2499046
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      – Code: eng
        Text: English
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              Text: Jan2026
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              Y: 2026
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