Practical multilevel modeling using R / Francis L. Huang, University of Missouri.

Author/creator Huang, Francis L.
Format Electronic
Publication InfoLos Angeles : SAGE Publications, Inc., [2023]
Descriptionxix, 236 pages : illustrations ; 26 cm.
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects

SeriesAdvanced quantitative techniques in the social sciences
Abstract "This book 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, 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. The student website includes R code and the dataset used in the book"-- Provided by publisher.
Bibliography noteIncludes bibliographical references (pages 223-229) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022047109
ISBN9781071846124 (paperback)
ISBN(adobe pdf)
ISBN(epub)
ISBN(epub)

Availability

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Electronic Resources Access Content Online ✔ Available