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Multilevel Modeling: When and Why [PDF]
Multilevel models have become popular for the analysis of a variety of problems. This chapter gives a summary of the reasons for using multilevel models, and provides examples why these reasons are indeed valid. Next, recent (simulation) research is reviewed on the robustness and power of the usual estimation procedures with varying sample sizes.
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Biological data are often intrinsically hierarchical (e.g., species from different genera, plants within different mountain regions), which made mixed‐effects models a common analysis tool in ecology and evolution because they can account for the non ...
Johannes Oberpriller +2 more
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Performance of likelihood-based estimation methods for multilevel binary regression models. [PDF]
By means of a fractional factorial simulation experiment, we. compare the performance of penalised quasi-likelihood (PQL), non-adaptive Gaussian quadrature and adaptive Gaussian quadrature in estimating parameters for multilevel logistic regression ...
Croux, Christophe, Callens, M
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What Does It Take for Immigrants to Join Political Parties?
Political parties are crucial agents in democratic representation and political integration of persons of immigrant origin, a growing category of citizens in the European Union.
Monika Bozhinoska Lazarova +2 more
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In this study the effects of school and classroom climate and teacher’s behavior on Italian students’ mathematical achievement score in PISA 2012 were investigated. Simple and scale indices provided by the PISA database, constructed by responses from the
Giuseppe Bove +2 more
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Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships
Our article explores an underused mathematical analytical methodology in the social sciences. In addition to describing the method and its advantages, we extend a previously reported application of mixed models in a well-known database about corruption ...
Luiz Paulo Fávero +4 more
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Nonlinear mediation in clustered data : a nonlinear multilevel mediation model [PDF]
textMediational analysis quantifies proposed causal mechanisms through which treatments act on outcomes. In the presence of clustered data, conventional multiple regression mediational methods break down, requiring the use of hierarchical linear modeling
Lockhart, Lester Leland
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Mean exit times and the multilevel Monte Carlo method [PDF]
Numerical methods for stochastic differential equations are relatively inefficient when used to approximate mean exit times. In particular, although the basic Euler–Maruyama method has weak order equal to one for approximating the expected value of the ...
Roj, Mikolaj +4 more
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Homework and Academic Achievement in Latin America: A Multilevel Approach
The relationship between homework and academic results has been widely researched. Most of that research has used English-speaking, European or Asian samples, and to date there have been no detailed studies into that relationship in Latin America and the
Rubén Fernández-Alonso +7 more
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Fitting Multilevel Factor Models
We examine a special case of the multilevel factor model, with covariance given by multilevel low rank (MLR) matrix~\cite{parshakova2023factor}. We develop a novel, fast implementation of the expectation-maximization algorithm, tailored for multilevel factor models, to maximize the likelihood of the observed data.
Tetiana Parshakova +2 more
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