00000nam a2200000 i 4500 UP-1686042739785126581 Buklod 20251107104945.0 m |o d | cr ||||||||||| 251107s2023 cau ag b 001 0 eng 9781071846124 (paperback) 22835825 Econ-34635 Forefront SS-12788 Fastbooks Php7,293.00 Department of Psychology DLC DECON rda eng DMLUC QA 278.2 H83 2023 Huang, Francis L. author. Practical multilevel modeling using R Francis L. Huang. Los Angeles SAGE Publications, Inc. [2023] xix, 236 pages illustrations 26 cm. text txt rdacontent unmediated rdamedia volume rdacarrier Advanced quantitative techniques in the social sciences Includes bibliographical references and index. 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. Multilevel models (Statistics) R (Computer program language) FO UPD DECON QA 278.2 H83 2023 UPD DMLS QA 278.2 H83 2023 UPD DSTC QA 278.2 H83 2023 Book