La aplicación de modelos lineales jerárquicos para el estudio de la eficacia en psicoterapia
Open accessAbstract
Hierarchical Linear Models (HLM) represents a valuable statistical tool for psychotherapy research, given that they allow dealing with the usual dependency presented in its data. These methods are useful to estimate change, disaggregate sources of variations, and analyze the effect of different level predictors. Considering that, these analyses required a highly sophisticated technical knowledge that might remain inaccessible for many researchers, the aim of this paper is to present a guide on how to understand, apply, and report HLM for psychotherapy effects research. To illustrate how to apply HLM, we have drawn on a naturalistic clinical dataset. Disseminating these methods in the Latin-America might represent a meaningful contribution both for research and practice, improving the soundness of clinical studies and helping to develop a more robust knowledge that might leads to greater process and outcome in psychotherapy.
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In cases in which ANOVAs or ordinary least squares models were used instead of hierarchical models, the results should be interpreted with more caution because they do not account for the dependency of the data.
“Indeed, in cases in which ANOVAs or ordinary least squares models were used instead of hierarchical models, the results should be interpreted with more caution. They do not account for the dependency of the data, and in longitudinal assessments such as AA in which data are essentially nested, using these strategies may yield inaccurate pictures of the data [114].”
From Studies of Social Anxiety Using Ambulatory Assessment: Systematic Review (2024) · cites this paper as [114]
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Manubens, R. T., Babl, A., Martínez, D., Roussos, A., & Penedo, J. M. G. (2026) · Counselling and Psychotherapy Research · doi:10.1002/capr.70167
Self-citation
- Authors
- Gómez Penedo, J. M., Muiños, R., Hirsch, P., & Roussos, A.
- Affiliations
- National University of Tres de Febrero (AR)
- University of San Andrés (AR)
- Venue
- Revista Argentina de Ciencias del Comportamiento
- Publisher
- Universidad Nacional de Córdoba
- Published
- 2019-04-24
- Volume
- 11
- Issue
- 1
- Pages
- 25-37
- ISSN
- 1852-4206 (ISSN-L)
- OpenAlex
- W2947817406
- Cited by
- 9
- References
- 20
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 4 · 2022: 1 · 2021: 1 · 2019: 1
- FWCI
- 0.58
- Type
- journal article
- Language
- es
- Open access
- diamond
- doi.org
- Locations
- Revista Argentina de Ciencias del Comportamiento ( RACC ) (publishedVersion, cc-by)
- Dialnet (Universidad de la Rioja) (submittedVersion)
- Redalyc (Universidad Autónoma del Estado de México) (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- Greater South Information System
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- multilevel analysis, psychotherapy effectiveness, psychotherapy outcome research, Latin America
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