Multi-Level Modelling

by Anders Skrondal

• ISBN13: 9781847872739
• ISBN10: 1847872735
• Format: Hardcover
• Copyright: 2009-12-18
• Publisher: SAGE Publications Ltd

Summary

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 analyse 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

Table of Contents

Linear Multilevel Models: Model Formulation And Interpretation

Introduction

Multilevel Analysis

New Statistical Methods for Analyzing Social Structures: An introduction to multilevel models

Modeling Multilevel Data Structures

Context, Composition and Heterogeneity: Using multilevel models in health research

Statistical and Substantive Inferences in Public Health: Issues in the application of multilevel models

A Glossary for Multilevel Analysis

Models for Longitudinal and Panel Data

Application of Hierarchical Linear Models to Assessing Change

The Design and Analysis of Longitudinal Studies of Development and Psychopathology in Context: Statistical models and methodological recommendations

Panel Models in Sociological Research: Theory into practice

The Multilevel Approach to Repeated Measures for Complete and Incomplete Data

Multilevel and Related Models for Longitudinal Data

Multilevel Models for Longitudinal Data

Higher-level Models

The Analysis of Longitudinal, Multilevel Data

Big-Fish-Little-Pond Effect on Academic Self-concept

Between Versus Within Effects, Mean Centering, and Endogeneity

Separation of Individual-level and Cluster-level Covariate Effects in Regression Analysis of Correlated Data

Causes, Problems and Benefits of Different Between and Within Effects in the Analysis of Clustered Data

Regressor and Random-effect Dependencies in Multilevel Models

Variance Explained

Modeled Variance in Two-level Models

Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models

Linear Multilevel Models: Inference, Diagnostics And Design

Parameter Estimation

Estimation Procedures for Hierarchical Linear Models

Introduction to Multilevel Analysis

Assigning Values to Random Effects

Assigning Values to the Random Intercepts

That BLUP is a Good Thing: The estimation of random effects

Model Diagnostics and Robustness

Outliers in Multilevel Data

Diagnostic Checks for Multilevel Models

The Effect of Misspecifying the Random-effects Distribution in Linear Mixed Models for Longitudinal Data

Robustness of the Linear Mixed Model to Misspecified Error Distribution

Model Building and Inference

Testing and Model Specification

Hierarchical Linear Models

Variance Component Testing in Multilevel Models

Inference and Hierarchical Modelling in the Social Sciences

Study Design, Power, and Sample Size

Power and Sample Size in Multilevel Linear Models

Statistical Analysis and Optimal Design for Cluster Randomized Trials

Design Issues for Experiments in Multilevel Populations

Multilevel Generalized Linear Models

Introduction

Multilevel Modeling of Binary Data

Generalized Linear Mixed Models

Generalized Linear Mixed Effects Models

Statistical Methods for Longitudinal and Clustered Designs with Binary Responses

Limited Dependent Variable Models Using Panel Data

Ordered and Unordered Categorical Responses

A Mixed-effects Regression Model for Three-level Ordinal Response Data

Multilevel Logistic Regression for Polytomous Responses and Rankings

Hierarchical Models of Paired Comparison Data

Survival and Counts

Random-effects Regression Analysis of Correlated Grouped-time Survival Data

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

Chapter 10 of Hierarchical Linear Models: Applications and data analysis methods

Recent Developments in Count Data Modelling: Theory and application

Model Interpretation

Variance Partitioning in Multilevel Logistic Models that Exhibit Over-dispersion

Appropriate Assessment of Neighborhood Effects on Individual Health: Integrating random and fixed effects in multilevel logistic regression

Equivalence of Conditional and Marginal Regression Models for Clustered and Longitudinal Data

Estimation and Prediction

Statistical Inference in Generalized Linear Mixed Models: A review

Misspecified Maximum Likelihood Estimates and Generalized Linear Mixed Models

Prediction in Multilevel Generalized Linear Models

Complex Models And Issues

Nonlinear Mixed Models

Nonlinear Models for Repeated Measurement Data: An overview and update

Complex Random Part

Heteroscedasticity and Complex Variation

Multilevel Models with Applications to Repeated Measures Data

Spatial Analysis

Discrete and Nonnormal Random Effects

Analyzing Developmental Trajectories: A semiparametric, group-based approach

Latent Class and Finite Mixture Models for Multilevel Data Sets

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

Multivariate Multilevel Models

Multilevel Analysis

Crossed Random Effects and Multiple Membership Models

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

Multiple Membership Multiple Classification (MMMC) Models

Resampling and Multiple Imputation

A Novel Bootstrap Procedure for Assessing the Relationship Between Class Size and Achievement

Multilevel Analysis of Messy Data

Multilevel Models with Latent Variables

Ecometrics: Toward a Science of Assessing Ecological Settings, with Application to the Systematic Social Observations of Neighborhoods

Generalized Multilevel Structural Equation Modeling

Multilevel Models for Complex Survey Data

Multilevel Modeling of Complex Survey Data

Mixed Responses or Multiple Process Models

Model-based Approaches to Analyzing Incomplete Repeated Measures and Failure Time Data

The Effect of Physician Advice on Alcohol Consumption: Count data regression with an endogenous treatment effect

Simultaneous Equations for Hazards-marriage Duration and Fertility Timing

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