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Using Multilevel Mixtures to Evaluate Intervention Effects in Group Randomized Trials.
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- Author(s): Van Horn, M. Lee1 ; Fagan, Abigail A.2; Jaki, Thomas3; Brown, Eric C.4; Hawkins, J. David4; Arthur, Michael W.4; Abbott, Robert D.4; Catalano, Richard F.4
- Source:
Multivariate Behavioral Research. Apr2008, Vol. 43 Issue 2, p289-326. 38p. 2 Diagrams, 9 Charts.- Subject Terms:
- Source:
- Additional Information
- Abstract: There is evidence to suggest that the effects of behavioral interventions may be limited to specific types of individuals, but methods for evaluating such outcomes have not been fully developed. This study proposes the use of finite mixture models to evaluate whether interventions, and, specifically, group randomized trials, impact participants with certain characteristics or levels of problem behaviors. This study uses latent classes defined by clustering of individuals based on the targeted behaviors and illustrates the model by testing whether a preventive intervention aimed at reducing problem behaviors affects experimental users of illicit substances differently than problematic substance users or those individuals engaged in more serious problem behaviors. An illustrative example is used to demonstrate the identification of latent classes, specification of random effects in a multilevel mixture model, independent validation of latent classes, and the estimation of power for the proposed models to detect intervention effects. This study proposes specific steps for the estimation of multilevel mixture models and their power and suggests that this model can be applied more broadly to understand the effectiveness of interventions. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Multivariate Behavioral Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. 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.)
- Abstract:
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