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Modeling Intraindividual Variability With Repeated Measures Data - Methods and Applications (Paperback): Scott L. Hershberger,... Modeling Intraindividual Variability With Repeated Measures Data - Methods and Applications (Paperback)
Scott L. Hershberger, D.S. Moskowitz
R1,673 Discovery Miles 16 730 Ships in 10 - 15 working days

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.

Modeling Intraindividual Variability With Repeated Measures Data - Methods and Applications (Hardcover): Scott L. Hershberger,... Modeling Intraindividual Variability With Repeated Measures Data - Methods and Applications (Hardcover)
Scott L. Hershberger, D.S. Moskowitz
R3,941 Discovery Miles 39 410 Ships in 10 - 15 working days

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.

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