Multilevel Modeling
- ISBN-10
- 0761928790
- ISBN-13
- 9780761928799
- Series
- Multilevel Modeling
- Category
- Mathematics
- Pages
- 92
- Language
- English
- Published
- 2004-07-08
- Publisher
- SAGE
- Author
- Douglas A. Luke
Description
Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.
Get the book
Other editions
-
- 2019-09-10
- 552 pages
- Paperback
- SAGE Publications, Incorporated
Similar books
-
Multilevel Modeling Using R
By Ken Kelley, W. Holmes Finch, Jocelyn E. BolinAfter 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 ...
-
Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling
By Tom A B Snijders, Roel J BoskerAn 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 ...
-
Growth Modeling: Structural Equation and Multilevel Modeling Approaches
By Kevin J. Grimm, Nilam Ram, Ryne EstabrookDiscussing 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.
-
Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R, & HLMTM
By G. David GarsonApplications in STATA®, IBM® SPSS®, SAS®, R, & HLMTM G. David Garson. addition to the editor, and the five chapters by the editor use different examples and have different content.) Garson, G. David. (2013b).
-
Multilevel Modeling of Educational Data
By D. Betsy McCoach, Ann A. O'ConnellIn 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.
-
Data Analysis Using Regression and Multilevel/Hierarchical Models
By Jennifer Hill, Andrew GelmanThe 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 ...
-
Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling
By Tom A. B. Snijders, Roel J. Bosker... 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 ...
-
An Introduction to Multilevel Modeling Techniques
By Ronald H. Heck, Scott L. ThomasThis book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets.
-
Multilevel Modelling for Public Health and Health Services Research: Health in Context
By Alastair H. Leyland, Peter P. GroenewegenThis 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.
-
Multilevel Modeling Using R
By Ken Kelley, W. Holmes Finch, Jocelyn E. BolinAnalyzing 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.