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Time-lagged panel models in psychotherapy process and mechanisms of change research: Methodological challenges and advances
Linnaeus University, Faculty of Health and Life Sciences, Department of Psychology.ORCID iD: 0000-0002-2486-6859
2024 (English)In: Clinical Psychology Review, ISSN 0272-7358, E-ISSN 1873-7811, Vol. 110, article id 102435Article in journal (Refereed) Published
Abstract [en]

In recent years, there has been increasing interest in utilizing time-lagged panel models to study mechanisms of change in psychotherapy. These models offer valuable insights into the dynamic relationships between variables over time and offer stronger causal inference capabilities than cross-sectional analyses. Therefore, they are wellsuited for modeling the intricate relationships between mechanisms of change and outcomes in psychotherapy studies, which are typically beyond experimental control. However, their complexity, coupled with the fact that detailed explanations are often embedded in dense statistical or econometric texts, poses challenges. This paper provides a background on cross-lagged panel models and delves deeper into explaining the issues of 1) dynamic panel bias, 2) long-run effects, and 3) testing whether different treatments work by different mechanisms. Using data from a psychotherapy study on treatment of adolescent depression, I demonstrate how these issues manifest in real data. In conclusion, I recommend using structural equation modeling to circumvent dynamic panel bias, reporting long-run effects to reveal the long-term impact of sustained therapeutic work on mechanisms of change, and carefully considering whether mediation, moderation, or a combination of both, best describes differential effects of mechanisms between treatments.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 110, article id 102435
Keywords [en]
Psychotherapy, Mechanism, Cross-lagged panel model, Mediation, Moderation
National Category
Applied Psychology
Research subject
Social Sciences, Psychology
Identifiers
URN: urn:nbn:se:lnu:diva-130456DOI: 10.1016/j.cpr.2024.102435ISI: 001237988200001PubMedID: 38703437Scopus ID: 2-s2.0-85192048729OAI: oai:DiVA.org:lnu-130456DiVA, id: diva2:1870532
Available from: 2024-06-14 Created: 2024-06-14 Last updated: 2024-08-22Bibliographically approved

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Falkenström, Fredrik

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CiteExportLink to record
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  • apa
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