基本説明
The editors of this essential four-volume set 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.
Full Description
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 InterpretationVolume Two: Linear Multilevel Models: Inference, Diagnostics and DesignVolume Three: Multilevel Generalized Linear ModelsVolume Four: Complex Models and Issues
Contents
VOLUME 1INTERPRETATIONIntroductionMultilevel Analysis - Tom A.B. SnijdersNew Statistical Methods for Analyzing Social Structures: An introduction to multilevel models - Lindsay Paterson and Harvey GoldsteinModeling Multilevel Data Structures - Marco Steenbergen and Bardford JonesContext, Composition and Heterogeneity: Using multilevel models in health research - Craig Duncan, Kelwyn Jones and Graham MoonStatistical and Substantive Inferences in Public Health: Issues in the application of multilevel models - Jeffrey B. Bingenheimer and Stephen W. RaudenbushA Glossary for Multilevel Analysis - A.V. Diez RouxModels for Longitudinal and Panel DataApplication of Hierarchical Linear Models to Assessing Change - Anthony S. Bryk and Stephen W. RaudenbushThe 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. MartinPanel Models in Sociological Research: Theory into practice - Charles N. HalabyThe Multilevel Approach to Repeated Measures for Complete and Incomplete Data - Cora J.M. Maas and Tom A.B. SnijdersMultilevel and Related Models for Longitudinal Data - Anders Skrondal and Sophia Rabe-HeskethMultilevel Models for Longitudinal Data - Fiona SteeleHigher-level ModelsThe Analysis of Longitudinal, Multilevel Data - Stephen W. RaudenbushBig-Fish-Little-Pond Effect on Academic Self-concept - Herbert W. Marsh and Kit-Tai HauBetween Versus Within Effects, Mean Centering, and EndogeneitySeparation of Individual-level and Cluster-level Covariate Effects in Regression Analysis of Correlated Data - Melissa D. Begg and Michael K. ParidesCauses, Problems and Benefits of Different Between and Within Effects in the Analysis of Clustered Data - Mari Palta and Chris SeplakiRegressor and Random-effect Dependencies in Multilevel Models - Peter Ebbes, Ulf Boeckenholt and Michel WedelVariance ExplainedModeled Variance in Two-level Models - Tom A.B. Snijders and Roel J. BoskerBayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models - Andrew Gelman and Iain PardoeVOLUME 2: LINEAR MULTILEVEL MODELS: INFERENCE, DIAGNOSTICS AND DESIGNParameter EstimationEstimation Procedures for Hierarchical Linear Models - H. Swaminathan and H.J. RogersIntroduction to Multilevel Analysis - Jan de Leeuw and Erik MeijerAssigning Values to Random EffectsAssigning Values to the Random Intercepts - Sophia Rabe-Hesketh and Anders SkrondalThat BLUP is a Good Thing: The estimation of random effects - G.K. RobinsonModel Diagnostics and RobustnessOutliers in Multilevel Data - Ian H. Langford and Toby LewisDiagnostic Checks for Multilevel Models - Tom A.B. Snijders and Johannes BerkhofThe Effect of Misspecifying the Random-effects Distribution in Linear Mixed Models for Longitudinal Data - Geert Verbeke and Emmanuel LesaffreRobustness of the Linear Mixed Model to Misspecified Error Distribution - Helene Jacqmin-Gadda, Solenne Sibillot, Cecile Proust, Jean-Michel Molina and Rodolphe ThiebautModel Building and InferenceTesting and Model Specification - Tom A.B. Snijders and Roel J. BoskerHierarchical Linear Models - Stephen W. Raudenbush and Anthony S. BrykVariance Component Testing in Multilevel Models - Johannes Berkhof and Tom A.B. SnijdersInference and Hierarchical Modelling in the Social Sciences - David DraperStudy Design, Power, and Sample SizePower and Sample Size in Multilevel Linear Models - Tom A.B. SnijdersStatistical Analysis and Optimal Design for Cluster Randomized Trials - Stephen W. RaudenbushDesign Issues for Experiments in Multilevel Populations - Mirjam Moerbeek, Gerard J.P. van Breukelen and Martijn P.F. BergerVOLUME 3: MULTILEVEL GENERALIZED LINEAR MODELSIntroduction Multilevel Modeling of Binary Data - Guong Guo and Hongxin ZhaoGeneralized Linear Mixed Models - Donald HedekerGeneralized Linear Mixed Effects Models - Sophia Rabe-Hesketh and Anders SkrondalStatistical Methods for Longitudinal and Clustered Designs with Binary Responses - John M. NeuhausLimited Dependent Variable Models Using Panel Data - G. S. MaddalaOrdered and Unordered Categorical ResponsesA Mixed-effects Regression Model for Three-level Ordinal Response Data - Rema Raman and Donald HedekerMultilevel Logistic Regression for Polytomous Responses and Rankings - Anders Skrondal and Sophia Rabe-HeskethHierarchical Models of Paired Comparison Data - Ulf BoeckenholtSurvival and CountsRandom-effects Regression Analysis of Correlated Grouped-time Survival Data - Donald Hedeker, Ohidul Siddiqui and Frank HuThe Random-effects Proportional Hazards Model with Grouped Survival Data: A comparison between the grouped continuous and continuation ratio versions - Leonardo GrilliChapter 10 of Hierarchical Linear Models: Applications and data analysis methods - Stephen W. Raudenbush and Anthony S. BrykRecent Developments in Count Data Modelling: Theory and application - Rainer Winkelmann and Klaus F. ZimmermannModel Interpretation Variance Partitioning in Multilevel Logistic Models that Exhibit Over-dispersion - William J. Browne, S.V. Subramanian, Kelwyn Jones and Harvey GoldsteinAppropriate Assessment of Neighborhood Effects on Individual Health: Integrating random and fixed effects in multilevel logistic regression - Klaus Larsen and Juan MerloEquivalence of Conditional and Marginal Regression Models for Clustered and Longitudinal Data - John Ritz and Donna SpiegelmanEstimation and PredictionStatistical Inference in Generalized Linear Mixed Models: A review - Francis Tuerlinckx, Frank Rijmen, Geert Verbeke and Paul De BoeckMisspecified Maximum Likelihood Estimates and Generalized Linear Mixed Models - Patrick J. Heagerty and Barbara F. KurlandPrediction in Multilevel Generalized Linear Models - Anders Skrondal and Sophia Rabe-HeskethVOLUME 4: COMPLEX MODELS AND ISSUESNonlinear Mixed ModelsNonlinear Models for Repeated Measurement Data: An overview and update - Marie Davidian and David M. GiltinanComplex Random PartHeteroscedasticity and Complex Variation - Harvey GoldsteinMultilevel Models with Applications to Repeated Measures Data - Harvey Goldstein, Michael J. R. Healy and Jon RasbashSpatial Analysis - A. LeylandDiscrete and Nonnormal Random EffectsAnalyzing Developmental Trajectories: A semiparametric, group-based approach - Daniel S. NaginLatent Class and Finite Mixture Models for Multilevel Data Sets - Jeroen K. VermuntA General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models - Murray AitkinMultivariate Multilevel ModelsMultilevel Analysis - J. HoxCrossed Random Effects and Multiple Membership ModelsA Crossed Random Effects Model for Unbalanced Data with Applications in Cross-sectional and Longitudinal Research - Stephen W. RaudenbushMultiple Membership Multiple Classification (MMMC) Models - William J. Browne, Harvey Goldstein and Jon RasbashResampling and Multiple ImputationA Novel Bootstrap Procedure for Assessing the Relationship Between Class Size and Achievement - James R. Carpenter, Harvey Goldstein and Jon RasbashMultilevel Analysis of Messy Data - N.T. LongfordMultilevel Models with Latent VariablesEcometrics: Toward a Science of Assessing Ecological Settings, with Application to the Systematic Social Observations of Neighborhoods - Stephen W. Raudenbush and Robert J. SampsonGeneralized Multilevel Structural Equation Modeling - Sophia Rabe-Hesketh, Anders Skrondal and Andrew PicklesMultilevel Models for Complex Survey DataMultilevel Modeling of Complex Survey Data - Sophia Rabe-Hesketh and Anders SkrondalMixed Responses or Multiple Process ModelsModel-based Approaches to Analyzing Incomplete Repeated Measures and Failure Time Data - Joseph W. Hogan and Nan M. LairdThe Effect of Physician Advice on Alcohol Consumption: Count data regression with an endogenous treatment effect - Donald S. Kenkel and Joseph V. TerzaSimultaneous Equations for Hazards-marriage Duration and Fertility Timing - Lee A. Lillard
