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.

This book helps doctors to improve their chances of getting the highly sought-after specialty training post. It is a wide-ranging, accessible guide to the application process covering every step, from online application to the selection panel.

Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.

Presents the current state-of-the-art research in the rapidly expanding field of school effectiveness, viewed from an international perspective; reviews, analyzes, and integrates knowledge in the field from different countries; and outlines some new directions in which the field should move if it is to fulfill its promise. These last include the development of international studies, generating and testing school effectiveness theory, and closer links with the practical needs of school improvement. Annotation copyright by Book News, Inc., Portland, OR