Francis L. Huang
Practical Multilevel Modeling Using R
Practical Multilevel Modeling Using R
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- More about Practical Multilevel Modeling Using R
Practical Multilevel Modeling Using R is a step-by-step guide for running multilevel analyses, with detailed examples and annotated R syntax. It covers basics and advanced topics, making it suitable for students with substantive research areas.
Format: Paperback / softback
Length: 256 pages
Publication date: 01 February 2023
Publisher: SAGE Publications Inc
Practical Multilevel Modeling Using R offers students a comprehensive and hands-on guide to conducting their own multilevel analyses. Through detailed examples and clear explanations, the book addresses the conceptual and statistical challenges of multilevel modeling in a manner that is relevant and accessible to students from applied disciplines. Annotated R syntax is provided to illustrate the application of multilevel modeling (MLM), and real-world examples showcase the impact of modeling decisions on outcomes. While covering the basics, the book also delves into advanced topics such as diagnostics, heteroscedasticity detection and handling, power analysis, and missing data handling methods. Unlike other detailed texts on MLM, this book focuses on applied research and utilizes R software to execute the analyses, making it particularly suitable for students with substantive research interests but not necessarily aspiring to become methodologists or statisticians. Each chapter concludes with a Test Yourself section, and solutions are available on the instructor website for the book. Additionally, a companion R package is available to enhance the learning experience. By providing a step-by-step approach and practical examples, Practical Multilevel Modeling Using R equips students with the skills and knowledge needed to effectively analyze multilevel data and make informed decisions based on empirical evidence.
Weight: 490g
Dimension: 254 x 177 (mm)
ISBN-13: 9781071846124
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