• 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 ...

Modeling Policy Adoption and Impact with Multilevel Methods
Modeling policy adoption and impact with multilevel methods
JamesE.MonoganIIIUniversity of Georgia, USA1

Policy analysts study both the causes leading to the adoption of specific policies and the consequences of policies once they are enacted. When investigating either question, it is essential to recognize that policies are dynamic over time and are often developed and implemented through a hierarchical structure. For example, policy might be carried out through clinics or schools, each of which have unique qualities as they fulfill their jobs. Further, legislation in many cases, including the American case, is decided within a federal structure. Hence, policies adopted by counties should be thought of in the context of their respective states, and state policy should be thought of ...

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