• Summary
  • Contents
  • Subject index

In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling.

The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field.

Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference; Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models; Part III includes discussion of missing data and robust methods, assessment of fit and ...

Multilevel Modeling of Social Network and Relational Data
Multilevel modeling of social network and relational data
MarijtjeA.J.van DuijnInteruniversity Center for Social Science Theory and Methodology, University of Groningen, The Netherlands
33.1 Introduction

Social network analysis is a large and interdisciplinary research field with its main roots in the social sciences (sociology, psychology, anthropology) and mathematics (graph theory). Its objective can be summarized as understanding the structure of the social network through description, visualization, and mathematical and statistical analysis. Since the late 1970s, statistical models for social network analysis have been developed and applied, aided by the development of statistical models in other areas and by the advancement of computational techniques. The models are part of a larger body of statistical models available for the analysis of social network ...

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