Practical Multilevel Modeling Using R (Advanced Quantitative Techniques in the Social Sciences)

By: Francis L. Huang

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Synopsis: Practical Multilevel Modeling Using R provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a "Test Yourself" section, and solutions are available on the instructor website for the book. A companion R package is available for use with this text.

Book Quality:: Publisher Quality
ISBN-13:: 9781071846131
Related ISBNs:: 9781071846155, 9781071846124, 9781071846148
Publisher:: SAGE Publications
Date of Addition:: 06/25/24
Copyrighted By:: SAGE Publications, Inc.
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Social Studies, Mathematics and Statistics, Sociology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.