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Multilevel Modelling

Multilevel Modelling

Four Volume Set
Edited by:

January 2010 | 1 608 pages | SAGE Publications Ltd

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 modeling 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 are among the leading figures of multilevel modeling, 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

Volume Two: Linear Multilevel Models: Inference, diagnostics and design

Volume Three: Generalized Linear Mixed Models

Volume Four: Complex Models and Issues

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
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
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
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

Anders Skrondal

Sophia Rabe-Hesketh