Data collected in the social sciences often have a multilevel or clustered structure. From this, we often have research questions that are of a multilevel nature, and multilevel modelling is now widely used across health, economics, demography, education and many other areas to analyze data clustered within units at higher levels. The editors of this essential four-volume set, Multilevel Modelling, are among the leading figures of multilevel modelling, an approach which is at once cutting-edge and well established within research methods and the social sciences.

Volume One: Linear Multilevel Models: Model Formulation and Interpretation

Volume Two: Linear Multilevel Models: Inference, Diagnostics and Design

Volume Three: Multilevel Generalized Linear Models

Volume Four: Complex Models and Issues

VOLUME 1: LINEAR MULTILEVEL MODELS: MODEL FORMULATION AND INTERPRETATION

Introduction

Multilevel Analysis - Tom A.B. Snijders

New Statistical Methods for Analyzing Social Structures: An introduction to multilevel models - Lindsay Paterson and Harvey Goldstein

Modeling Multilevel Data Structures - Marco Steenbergen and Bardford Jones

Context, Composition and Heterogeneity: Using multilevel models in health research - Craig Duncan, Kelwyn Jones and Graham Moon

Statistical and Substantive Inferences in Public Health: Issues in the application of multilevel models - Jeffrey B. Bingenheimer and Stephen W. Raudenbush

A Glossary for Multilevel Analysis - A.V. Diez Roux

Models for Longitudinal and Panel Data

Application of Hierarchical Linear Models to Assessing Change - Anthony S. Bryk and Stephen W. Raudenbush

The Design and Analysis of Longitudinal Studies of Development and Psychopathology in Context: Statistical models and methodological recommendations - John B. Willett, Judith D. Singer and Nina C. Martin

Panel Models in Sociological Research: Theory into practice - Charles N. Halaby

The Multilevel Approach to Repeated Measures for Complete and Incomplete Data - Cora J.M. Maas and Tom A.B. Snijders

Multilevel and Related Models for Longitudinal Data - Anders Skrondal and Sophia Rabe-Hesketh

Multilevel Models for Longitudinal Data - Fiona Steele

Higher-level Models

The Analysis of Longitudinal, Multilevel Data - Stephen W. Raudenbush

Big-Fish-Little-Pond Effect on Academic Self-concept - Herbert W. Marsh and Kit-Tai Hau

Between Versus Within Effects, Mean Centering, and Endogeneity

Separation of Individual-level and Cluster-level Covariate Effects in Regression Analysis of Correlated Data - Melissa D. Begg and Michael K. Parides

Causes, Problems and Benefits of Different Between and Within Effects in the Analysis of Clustered Data - Mari Palta and Chris Seplaki

Regressor and Random-effect Dependencies in Multilevel Models - Peter Ebbes, Ulf Böckenholt and Michel Wedel

Variance Explained

Modeled Variance in Two-level Models - Tom A.B. Snijders and Roel J. Bosker

Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models - Andrew Gelman and Iain Pardoe

VOLUME 2: LINEAR MULTILEVEL MODELS: INFERENCE, DIAGNOSTICS AND DESIGN

Parameter Estimation

Estimation Procedures for Hierarchical Linear Models - H. Swaminathan and H.J. Rogers

Introduction to Multilevel Analysis - Jan de Leeuw and Erik Meijer

Assigning Values to Random Effects

Assigning Values to the Random Intercepts - Sophia Rabe-Hesketh and Anders Skrondal

That BLUP is a Good Thing: The estimation of random effects - G.K. Robinson

Model Diagnostics and Robustness

Outliers in Multilevel Data - Ian H. Langford and Toby Lewis

Diagnostic Checks for Multilevel Models - Tom A.B. Snijders and Johannes Berkhof

The Effect of Misspecifying the Random-effects Distribution in Linear Mixed Models for Longitudinal Data - Geert Verbeke and Emmanuel Lesaffre

Robustness of the Linear Mixed Model to Misspecified Error Distribution - Hélène Jacqmin-Gadda, Solenne Sibillot, Cécile Proust, Jean-Michel Molina and Rodolphe Thiébaut

Model Building and Inference

Testing and Model Specification - Tom A.B. Snijders and Roel J. Bosker

Hierarchical Linear Models - Stephen W. Raudenbush and Anthony S. Bryk

Variance Component Testing in Multilevel Models - Johannes Berkhof and Tom A.B. Snijders

Inference and Hierarchical Modelling in the Social Sciences - David Draper

Study Design, Power, and Sample Size

Power and Sample Size in Multilevel Linear Models - Tom A.B. Snijders

Statistical Analysis and Optimal Design for Cluster Randomized Trials - Stephen W. Raudenbush

Design Issues for Experiments in Multilevel Populations - Mirjam Moerbeek, Gerard J.P. van Breukelen and Martijn P.F. Berger

VOLUME 3: MULTILEVEL GENERALIZED LINEAR MODELS

Introduction

Multilevel Modeling of Binary Data - Guong Guo and Hongxin Zhao

Generalized Linear Mixed Models - Donald Hedeker

Generalized Linear Mixed Effects Models - Sophia Rabe-Hesketh and Anders Skrondal

Statistical Methods for Longitudinal and Clustered Designs with Binary Responses - John M. Neuhaus

Limited Dependent Variable Models Using Panel Data - G. S. Maddala

Ordered and Unordered Categorical Responses

A Mixed-effects Regression Model for Three-level Ordinal Response Data - Rema Raman and Donald Hedeker

Multilevel Logistic Regression for Polytomous Responses and Rankings - Anders Skrondal and Sophia Rabe-Hesketh

Hierarchical Models of Paired Comparison Data - Ulf Böckenholt

Survival and Counts

Random-effects Regression Analysis of Correlated Grouped-time Survival Data - Donald Hedeker, Ohidul Siddiqui and Frank Hu

The Random-effects Proportional Hazards Model with Grouped Survival Data: A comparison between the grouped continuous and continuation ratio versions - Leonardo Grilli

Chapter 10 of Hierarchical Linear Models: Applications and data analysis methods - Stephen W. Raudenbush and Anthony S. Bryk

Recent Developments in Count Data Modelling: Theory and application - Rainer Winkelmann and Klaus F. Zimmermann

Model Interpretation

Variance Partitioning in Multilevel Logistic Models that Exhibit Over-dispersion - William J. Browne, S.V. Subramanian, Kelwyn Jones and Harvey Goldstein

Appropriate Assessment of Neighborhood Effects on Individual Health: Integrating random and fixed effects in multilevel logistic regression - Klaus Larsen and Juan Merlo

Equivalence of Conditional and Marginal Regression Models for Clustered and Longitudinal Data - John Ritz and Donna Spiegelman

Estimation and Prediction

Statistical Inference in Generalized Linear Mixed Models: A review - Francis Tuerlinckx, Frank Rijmen, Geert Verbeke and Paul De Boeck

Misspecified Maximum Likelihood Estimates and Generalized Linear Mixed Models - Patrick J. Heagerty and Barbara F. Kurland

Prediction in Multilevel Generalized Linear Models - Anders Skrondal and Sophia Rabe-Hesketh

VOLUME 4: COMPLEX MODELS AND ISSUES

Nonlinear Mixed Models

Nonlinear Models for Repeated Measurement Data: An overview and update - Marie Davidian and David M. Giltinan

Complex Random Part

Heteroscedasticity and Complex Variation - Harvey Goldstein

Multilevel Models with Applications to Repeated Measures Data - Harvey Goldstein, Michael J. R. Healy and Jon Rasbash

Spatial Analysis - A. Leyland

Discrete and Nonnormal Random Effects

Analyzing Developmental Trajectories: A semiparametric, group-based approach - Daniel S. Nagin

Latent Class and Finite Mixture Models for Multilevel Data Sets - Jeroen K. Vermunt

A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models - Murray Aitkin

Multivariate Multilevel Models

Multilevel Analysis - J. Hox

Crossed Random Effects and Multiple Membership Models

A Crossed Random Effects Model for Unbalanced Data with Applications in Cross-sectional and Longitudinal Research - Stephen W. Raudenbush

Multiple Membership Multiple Classification (MMMC) Models - William J. Browne, Harvey Goldstein and Jon Rasbash

Resampling and Multiple Imputation

A Novel Bootstrap Procedure for Assessing the Relationship Between Class Size and Achievement - James R. Carpenter, Harvey Goldstein and Jon Rasbash

Multilevel Analysis of Messy Data - N.T. Longford

Multilevel Models with Latent Variables

Ecometrics: Toward a Science of Assessing Ecological Settings, with Application to the Systematic Social Observations of Neighborhoods - Stephen W. Raudenbush and Robert J. Sampson

Generalized Multilevel Structural Equation Modeling - Sophia Rabe-Hesketh, Anders Skrondal and Andrew Pickles

Multilevel Models for Complex Survey Data

Multilevel Modeling of Complex Survey Data - Sophia Rabe-Hesketh and Anders Skrondal

Mixed Responses or Multiple Process Models

Model-based Approaches to Analyzing Incomplete Repeated Measures and Failure Time Data - Joseph W. Hogan and Nan M. Laird

The Effect of Physician Advice on Alcohol Consumption: Count data regression with an endogenous treatment effect - Donald S. Kenkel and Joseph V. Terza

Simultaneous Equations for Hazards-marriage Duration and Fertility Timing - Lee A. Lillard