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Practical Multilevel Modeling Using R (Paperback) Loot Price: R2,409
Discovery Miles 24 090
Practical Multilevel Modeling Using R (Paperback): Francis L. Huang

Practical Multilevel Modeling Using R (Paperback)

Francis L. Huang

Series: Advanced Quantitative Techniques in the Social Sciences

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Loot Price R2,409 Discovery Miles 24 090 | Repayment Terms: R226 pm x 12*

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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.

General

Imprint: Sage Publications Ltd
Country of origin: United States
Series: Advanced Quantitative Techniques in the Social Sciences
Release date: February 2023
Authors: Francis L. Huang
Dimensions: 254 x 177mm (L x W)
Format: Paperback
Pages: 256
ISBN-13: 978-1-07-184612-4
Categories: Books > Reference & Interdisciplinary > Communication studies > Research methods
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Social sciences > Psychology > Psychological methodology > General
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LSN: 1-07-184612-4
Barcode: 9781071846124

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