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In this study we combine social network community detection analysis and cross-classified multilevel modeling in order to compare the contributions of each of these three contexts to the total variation in adolescent body mass index (BMI).
The Use of Multilevel Modeling in the Evaluation of Arts Education Programs: Lessons from the Nations in Neighborhoods Project.
In order to assess the roles of measured variables, as well as unmeasured factors at supervisor and community level, we used multilevel modeling in this paper.
In order to assess the roles of measured individual, household, community and state factors as well as unmeasured factors at the state level, we use multilevel modeling in this paper.
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We constructed a multivariate multilevel model in which negative affect and ruminative self-focus were modelled simultaneously as a function of our person-level and occasion-level variables (see Snijders &Bosker, 1999, pp. 200 206).
Data were analysed using multilevel modelling in keeping with the hierarchical structure of the data.
The purpose of the present study was to improve a multivariate multilevel model in the research literature which estimates the consistency in the rates of growth between mathematics and science achievement among students and schools.
In this article, we present an alternative parameterization for the multilevel model in which the marginal mean, rather than the conditional mean given random effects, is regressed on covariates.
We constructed multilevel models in several steps.
We fit the multilevel models in SAS (version 9.3).
We evaluated the multilevel model in a cross-validation study (Beverland et al. 2012).
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