Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable ...
An Introduction to Basic and Advanced Multilevel Modeling Tom A B Snijders, Roel J Bosker ... Stapleton, L. (2002) 'The incorporation of sample weights into multilevel structural equation models'. Structural Equation Modeling ...
Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions.
In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multilevel data (pp. ... Sample size requirements for 2-level designs in educational research. ... Complex sample data in structural equation modeling.
The intervention for low - birth - weight children is described by Brooks - Gunn , Liaw , and Klebanov ( 1992 ) and Hill , Brooks - Gunn , and Waldfogel ( 2003 ) . Imbalance plots such as Figure 10.3 are commonly used ; see Hansen ...
... controlling for variable X. It is analogous to the usual intraclass correlation coefficient , but now controlling for X. The formula for the ( non - residual , or raw ) intraclass correlation coefficient was just the same ...
This book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets.
This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) - a statistical technique being increasingly used in public health and health services research.
Analyzing Spatial Models of Choice and Judgment with R David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal Analysis of Multivariate Social Science Data, Second Edition David J.
... 102, 114 B Barcikowski, R., 6, 29 Barnett, R., 183 Bashaw, W., 38 Bassiri, D., 29, 30 Bentler, P., 21, 23, 24, 27, 95, 98, 100, 101,102, 114, 120, 133, 155,190, 191 Bock, R., 12 Bollen, K., 96 Boomsma, A., 95, 99, 101 Brennan, R., ...