Readers will appreciate a review of the latest methodological techniques developed in the last few years. Highlights include an examination of:
- Statistical and mathematical modeling techniques for the analysis of brain imaging such as EEGs, fMRIs, and other neuroscience data
- Dynamic modeling techniques for intensive repeated measurement data
- Panel modeling techniques for fewer time points data
- State-space modeling techniques for psychological data
- Techniques used to analyze reaction time data.
Each chapter features an introductory overview of the techniques needed to understand the chapter, a summary, and numerous examples. Each self-contained chapter can be read on its own and in any order. Divided into three major sections, the book examines techniques for examining within-person derivations in change patterns, intra-individual change, and inter-individual differences in change and interpersonal dynamics. Intended for advanced students and researchers, this book will appeal to those interested in applying state-of-the-art dynamic modeling techniques to the the study of neurological, developmental, cognitive, and social/personality psychology, as well as neuroscience, computer science, and engineering.
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