Modeling Intraindividual Variability With Repeated Measures Data

Methods and Applications

Nonfiction, Health & Well Being, Psychology, Research
Cover of the book Modeling Intraindividual Variability With Repeated Measures Data by , Taylor and Francis
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Author: ISBN: 9781135673208
Publisher: Taylor and Francis Publication: June 17, 2013
Imprint: Psychology Press Language: English
Author:
ISBN: 9781135673208
Publisher: Taylor and Francis
Publication: June 17, 2013
Imprint: Psychology Press
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:

  • 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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