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Multilevel Modelling
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Multilevel Modelling

Four Volume Set
Edited by:


© 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 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

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ISBN: 9781847872739
£645.00