This is the first workbook that introduces the multilevel approach to modeling with
categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate …

Multilevel models (MLMs) are frequently used in social and health sciences where data are
typically hierarchical in nature. However, the commonly used hierarchical linear models …

This book demonstrates how to use multilevel and longitudinal modeling techniques
available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide …

This book provides a comprehensive introduction to methods and models for categorical
data analysis and their applications in social science research. An explicit aim of the book is …

Multilevel modelling is a data analysis method that is frequently used to investigate
hierarchal data structures in educational, behavioural, health, and social sciences …

Interest in multilevel statistical models for social science and public health studies has been
aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving …

This book focuses on the practical issues and approaches to handling longitudinal and
multilevel data. All data sets and the corresponding command files are available via the …

Categorical data arise often in many fields, including biometrics, economics, management,
manufacturing, marketing, psychology, and sociology. This book provides an introduction to …

We review some of the work of the past ten years that applied the multilevel logit model. We
attempt to provide a brief description of the hypothesis tested, the hierarchical data structure …

This book is designed primarily for upper level undergraduate and graduate level students
taking a course in multilevel modelling and/or statistical modelling with a large multilevel …