Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R & HLMTM provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences. Author G. David Garson’s step-by-step instructions for software walk readers through each package. The instructions for the different platforms allow students to get a running start using the package with which they are most familiar while the instructor can start teaching the concepts of multilevel modeling right away. Instructors will find this text serves as both a comprehensive resource for their students and a foundation for their teaching alike.
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 ...
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.
... 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., ...
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 ...
... 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 ...
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 ...
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.
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.
This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
... business, education, health, and sociology, we hope the book«s practical presentation will also appeal to researchers in these fields. ... Washington State University; Laura M. O«Dwyer, Boston College; and one anonymous reviewer.