This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features: a minimum discussion of mathematical detail; an empirical example applying the technique; and a discussion of the software related to that technique. Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.

This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features: a minimum discussion of mathematical detail; an empirical example applying the technique; and a discussion of the software related to that technique. Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.

This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features: a minimum discussion of mathematical detail; an empirical example applying the technique; and a discussion of the software related to that technique. Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.

Intraindividual variability (IIV) of human development and behavior across the entire life-span is explored in this new book. Leading researchers summarize recent findings on the extent, role, and function of IIV in human development with a focus on how, when, and why individuals change over time. The latest theoretical, methodological, and technological advances are reviewed. The book explores the historical and theoretical background and challenges of IIV research along with its role and function in childhood, adolescence, and adulthood. Edited to maximize consistency and accessibility, each chapter includes an introduction and a review of the research and most explore future directions, new theoretical developments, and conclusions and implications. Readers are shown that by focusing on the individual as a unit of analysis across different time scales, conditions, and situations, researchers can effectively demonstrate behavioral and developmental regularities at different points of the life-span. As such this book is a must have for anybody interested in IIV research. The book explores: -New designs and methods for the analysis of intensive repeated measures data. -The importance of real-time data for more time sensitive and ecologically valid measurements. -The role and function of intraindividual variability in behavior and development across the life-span -- from infancy to later life. -Numerous examples of how intraindividual variability research is conducted. -Topics and findings that are commonly treated in disparate bodies of literature from various disciplines. Part 1 provides a historical, conceptual, and methodological overview of the study of intraindividual variability (IIV). IIV during childhood and adolescence and its application in the investigation of development of language acquisition, infant-parent interactions, development of motor skills, cognitive development, mood regulation, and identity development are examined in Part 2. Part 3 focuses on IIV during adult development, including its use in neuropsychological functioning and attention and in personality development and mood regulation. IIV in the context of adults’ health behavior is also reviewed. Part 4 examines the key issues and challenges of IIV research in human development such as whether IIV in adult development is an indicator of vulnerability or resilience, the association between short-term IIV and long-term developmental change, and multiple time-scale design and analysis. The volume concludes with a look at the future of intraindividual variation analysis. Intended for advanced students and researchers in developmental psychology across the life-span, social, personality, and health psychology, as well as sociology, family studies, gerontology, education, and medicine, interested in intraindividual variability of behavior and its role in human development, this book also serves as a text for graduate courses on longitudinal analysis, multilevel modeling, and/or (advanced) data analysis offered in these departments. Knowledge in human development or life course sociology and graduate-level statistics is recommended.

Provides readers with an understanding of the basics of measurement techniques in physical activity, by focusing on understanding the concept behind techniques. Looking at measurement issues in the physical domain, this book is useful for post graduate students, researchers and professionals in sport and exercise science.

Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.