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Multilevel Modeling [chapter]

2014 The Essence of Multivariate Thinking  
A new chapter on multilevel modeling (Chapter 8) which is now used more frequently in the social sciences.  ...  Reise (2000) Structural Equation Modeling with AMOS by Barbara M. Byrne (2001) Conducting Meta-Analysis Using SAS co-authored by  ...  METHODS Chapter 8: Multilevel Modeling 177 Themes Applied to Multilevel Modeling 178 8.1 What is MLM and How is it Similar to and Different from Other Methods?  ... 
doi:10.4324/9781315832746-20 fatcat:fqtys57tgvgbzpv47pwvvid3tu

Multilevel-modeller

Simon Calmar Andersen
2007 Politica - Tidsskrift for politisk videnskab  
Det er derimod muligt med en multilevel-model.  ...  Men først skal vi se, hvordan en multilevel-model kan opbygges.  ... 
doi:10.7146/politica.v39i3.69867 fatcat:qeqsmef2arcx3iurdx7re5wsze

Multilevel Modeling UsingR

Ulrike Gromping
2015 Journal of Statistical Software  
"Our goal is to provide you with a guidebook that will serve as the launching point for your own investigations into multilevel modeling".  ...  The book's preface states its goals as follows: "The goal of this book is to provide [...] a comprehensive resource for the conduct of multilevel modeling using the R software package."  ...  (26 pages) and finally a chapter on Bayesian multilevel modeling (31 pages).  ... 
doi:10.18637/jss.v062.b01 fatcat:3cuc7izuundt7b5dk4735mikhy

Questioning Multilevel Models

Jan de Leeuw, Ita G. G. Kreft
1995 Journal of educational and behavioral statistics  
In this article, practical problems with multilevel techniques are discussed.  ...  Finally, distinctions must be made between choice of model, choice of technique, choice of algorithm, and choice of computer program.  ...  In many cases it seems as if "fitting a multilevel model" and "using HLM" are seen as identical activities. They are not, of course.  ... 
doi:10.2307/1165355 fatcat:abx6rrio7zfwtf5ldeqtlkmc4m

Distributed Multilevel Modeling

David Afshartous, George Michailidis
2007 Journal of Computational And Graphical Statistics  
We consider the computational aspects of multilevel modeling across distributed databases.  ...  In addition, we consider these aspects under a generalization of the multilevel model where the distributed groups (or databases) are allowed to specify different models at both level-1 (individual) and  ...  databases as "groups" of the multilevel model.  ... 
doi:10.1198/106186007x255081 fatcat:j2f7szkl2zgzlbkgyi4dtvhv6y

Questioning Multilevel Models

Jan de Leeuw, Ita G. G. Kreft
1995 Journal of educational and behavioral statistics  
In this article, practical problems with multilevel techniques are discussed.  ...  Finally, distinctions must be made between choice of model, choice of technique, choice of algorithm, and choice of computer program.  ...  In many cases it seems as if "fitting a multilevel model" and "using HLM" are seen as identical activities. They are not, of course.  ... 
doi:10.3102/10769986020002171 fatcat:cyksddyipfg6hph7gumev32cja

Multilevel Modeling of Morphogenesis [chapter]

Paulien Hogeweg
2009 Lecture Notes in Computer Science  
I will argue that the multiscale CA formalism now known as the Cellular Potts Model (CPM) provides a simple yet basically sound representation of a biological cell, which can be interfaced with gene regulatory  ...  For modeling these processes we need a multilevel modeling formalism which allows us to incorporate the following premisses: -Target morphogenesis (not only pattern formation).  ...  It is a 2 scale cellular automata-like model.  ... 
doi:10.1007/978-3-540-95885-7_3 fatcat:x5mhirm3yvh57dd4ca2h4ggxva

Modeling Multilevel Data Structures

Marco R. Steenbergen, Bradford S. Jones
2002 American Journal of Political Science  
The paper discusses several variants of the multilevel model and provides an application of individual-level support for European integration using comparative political data from Western Europe.  ...  In this paper, we discuss several methodologies under the rubric of multilevel analysis.  ...  " of multilevel models.  ... 
doi:10.2307/3088424 fatcat:y3vcbftn5bdnjdrghxpyn274r4

What Is Multilevel Modelling? [chapter]

Alastair H. Leyland, Peter P. Groenewegen
2020 Multilevel Modelling for Public Health and Health Services Research  
In this chapter, we will introduce the basic methodological background to multilevel modelling in verbal form. The underlying graphs and algebra are not covered until Chap. 5.  ...  The influence of the context means that outcomes are unlikely to be independent, violating the assumption on which the standard regression model is based.  ...  What Is Multilevel Modelling? What Is Multilevel Modelling? What Is Multilevel Modelling? What Is Multilevel Modelling? What Is Multilevel Modelling?  ... 
doi:10.1007/978-3-030-34801-4_3 fatcat:tjtydxikhjc3poedxaigbo5w2a

Principles of multilevel modelling

Sander Greenland
2000 International Journal of Epidemiology  
Multilevel modelling, also known as hierarchical regression, generalizes ordinary regression modelling to distinguish multiple levels of information in a model.  ...  To aid in understanding these benefits, this article provides an elementary introduction to the conceptual basis for multilevel modelling, beginning with classical frequentist, Bayes, and empirical-Bayes  ...  Acknowledgements This paper was initially drafted for a workshop on multilevel modelling sponsored by the International Society for Environmental and Occupational Health, Helsinki, Finland, 1998.  ... 
doi:10.1093/ije/29.1.158 pmid:10750618 fatcat:meyynzzarjghnnt77tvkaggy74

Multilevel Structural Equation Modeling [chapter]

Sophia Rabe-Hesketh, Anders Skrondal, Xiaohui Zheng
2007 Handbook of Latent Variable and Related Models  
Different approaches to extending structural equation models for such multilevel settings are examined. The most common approach is to formulate separate within-cluster and between-cluster models.  ...  A multilevel regression (or path) model formulation is therefore suggested in which some of the response variables and some of the explanatory variables at the different levels are latent and measured  ...  Multilevel structural equation models could be specified using either multilevel regression models or structural equation models as the vantage point.  ... 
doi:10.1016/b978-044452044-9/50013-6 fatcat:axuz4a3sgra55pqqvhlxeyz4hm

Prediction in Multilevel Models

David Afshartous, Jan de Leeuw
2005 Journal of educational and behavioral statistics  
Multilevel modeling is an increasingly popular technique for analyzing hierarchical data.  ...  Finally, this article investigates the robustness of the multilevel prediction rule to misspecifications of the Level 2 model. Ψ Ψ Ψ Ψ Afshartous and de Leeuw FIGURE 7.  ...  In section 1.1 we review the multilevel model, and in section 1.2 we discuss estimation in multilevel models.  ... 
doi:10.3102/10769986030002109 fatcat:gfbj3jji3vet3baucumuqrv6uy

Model Agnostic Multilevel Explanations [article]

Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
2020 arXiv   pre-print
In recent years, post-hoc local instance-level and global dataset-level explainability of black-box models has received a lot of attention.  ...  LIME, GAMs), we develop a fast approximate algorithm for building the multilevel tree and study its convergence behavior.  ...  Given the omnipresence of multilevel explanations across various real world settings, we in this paper propose a novel model agnostic multilevel explanation (MAME) method that can take a local explainability  ... 
arXiv:2003.06005v1 fatcat:q5jhrbvnnje7fpwjnpurw3nnum

Inequality Constrained Multilevel Models [chapter]

Bernet Sekasanvu Kato, Carel F.W. Peeters
2008 Bayesian Evaluation of Informative Hypotheses  
the generic name of multilevel models.  ...  This chapter shows how the inequality constrained multilevel linear model can be given a Bayesian formulation, how the model parameters can be estimated using a so-called augmented Gibbs sampler, and how  ...  the generic name of multilevel models.  ... 
doi:10.1007/978-0-387-09612-4_13 fatcat:xhjjwwmrg5hklplalxoc74qpqa

Multilevel Mixture Factor Models

Roberta Varriale, Jeroen K. Vermunt
2012 Multivariate Behavioral Research  
These Multilevel Factor Models (MFMs) have in common that -as in multilevel regression analysis -variation at the higher level is modeled using continuous random effects (or continuous latent variables  ...  In this paper, we present an alternative multilevel extension of factor analysis which we call the Multilevel Mixture Factor Model (MFMM).  ...  Multilevel Discrete latent class model latent class model III. Multilevel mixture IV.  ... 
doi:10.1080/00273171.2012.658337 pmid:26734850 fatcat:clxhoav2jbcu7i6iv5z5phvdja
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