Multilevel Modelling (Sage Benchmarks in Social Research Methods)

Multilevel Modelling (Sage Benchmarks in Social Research Methods)

By: Sophia Rabe-Hesketh (editor), Anders Skrondal (editor)Hardback

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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 Boeckenholt 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 - Helene Jacqmin-Gadda, Solenne Sibillot, Cecile Proust, Jean-Michel Molina and Rodolphe Thiebaut 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 Boeckenholt 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

Product Details

  • ISBN13: 9781847872739
  • Format: Hardback
  • Number Of Pages: 1608
  • ID: 9781847872739
  • weight: 3170
  • ISBN10: 1847872735

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