• 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 ...

Design Considerations in Multilevel Studies
Design considerations in multilevel studies
Gerardvan BreukelenMaastricht University, The Netherlands
MirjamMoerbeekUtrecht University, The Netherlands
11.1 Introduction

Multilevel studies are omnipresent in the social and behavioral sciences, in either of two forms: nesting of persons within larger units, such as pupils in schools, employees in companies, or patients in general practices, or nesting of repeated measures within persons, such as the waves of a panel study or follow-ups in a psychotherapeutic trial. The combination of both forms of nesting in a three-level design (organizations, persons, measures) is also encountered, for instance in longitudinal school effectiveness studies and intervention studies in public health and clinical psychology. Questions to be answered by multilevel analysis of such designs typically concern the effects of one or more predictors on ...

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