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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