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Multilevel modeling of longitudinal data for psychotherapy researchers: I. The basics.
Psychother Res. 2009 Jul; 19(4-5):429-37.PR

Abstract

Psychotherapy researchers are often interested in change or development over time (i.e., pre- to posttreatment to follow-up or the development of process variables across multiple sessions). Traditional methods of assessing change and development are often unsatisfactory because of violations of statistical assumptions and because they do not model individual change. Modern longitudinal data analysis methods, including multilevel models (MLMs), provide an opportunity to model dynamic fluctuations in individual data across time. The objective of this article is to focus on the fundamentals of MLMs for longitudinal data analysis in psychotherapy research. To do so, the authors illustrate basic equations of MLMs and a strategy for developing increasingly complex models. They also present data from a psychotherapy research as an example of the application of MLMs. Finally, they offer some caveats and advice for conducting and presenting MLMs.

Authors+Show Affiliations

Department of Psychology, The Ottawa Hospital-General Campus, Ottawa, Ontario K1H 8L6, Canada. gtasca@ottawahospital.on.caNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

19235088

Citation

Tasca, Giorgio A., and Robert Gallop. "Multilevel Modeling of Longitudinal Data for Psychotherapy Researchers: I. the Basics." Psychotherapy Research : Journal of the Society for Psychotherapy Research, vol. 19, no. 4-5, 2009, pp. 429-37.
Tasca GA, Gallop R. Multilevel modeling of longitudinal data for psychotherapy researchers: I. The basics. Psychother Res. 2009;19(4-5):429-37.
Tasca, G. A., & Gallop, R. (2009). Multilevel modeling of longitudinal data for psychotherapy researchers: I. The basics. Psychotherapy Research : Journal of the Society for Psychotherapy Research, 19(4-5), 429-37. https://doi.org/10.1080/10503300802641444
Tasca GA, Gallop R. Multilevel Modeling of Longitudinal Data for Psychotherapy Researchers: I. the Basics. Psychother Res. 2009;19(4-5):429-37. PubMed PMID: 19235088.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Multilevel modeling of longitudinal data for psychotherapy researchers: I. The basics. AU - Tasca,Giorgio A, AU - Gallop,Robert, PY - 2009/2/24/entrez PY - 2009/2/24/pubmed PY - 2010/6/9/medline SP - 429 EP - 37 JF - Psychotherapy research : journal of the Society for Psychotherapy Research JO - Psychother Res VL - 19 IS - 4-5 N2 - Psychotherapy researchers are often interested in change or development over time (i.e., pre- to posttreatment to follow-up or the development of process variables across multiple sessions). Traditional methods of assessing change and development are often unsatisfactory because of violations of statistical assumptions and because they do not model individual change. Modern longitudinal data analysis methods, including multilevel models (MLMs), provide an opportunity to model dynamic fluctuations in individual data across time. The objective of this article is to focus on the fundamentals of MLMs for longitudinal data analysis in psychotherapy research. To do so, the authors illustrate basic equations of MLMs and a strategy for developing increasingly complex models. They also present data from a psychotherapy research as an example of the application of MLMs. Finally, they offer some caveats and advice for conducting and presenting MLMs. SN - 1468-4381 UR - https://www.unboundmedicine.com/medline/citation/19235088/Multilevel_modeling_of_longitudinal_data_for_psychotherapy_researchers:_I__The_basics_ L2 - http://www.tandfonline.com/doi/full/10.1080/10503300802641444 DB - PRIME DP - Unbound Medicine ER -