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Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications

Human Science


by
Scott L. Hershberger (Editor) and D.S. Moskowitz (Editor)

Book Details

Format: EPUB

Page count: 296 pages

File size: 4.8 MB

Protection: DRM

Language: English


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:

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”… (more)

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:

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.

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