Description
Book SynopsisThis book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology and outlines their application to data often seen in human research. The book balances mathematical concepts with information needed for using these statistical approaches in applied settings, such as interpretative caveats and issues to consider when selecting an approach.
The statistical topics covered here include foundational material as well as state-of-the-art methods. These analytic approaches can be applied to a range of data types such as psychophysiological, self-report, and passively collected measures such as those obtained from smartphones. We provide examples using varied data sources including functional MRI (fMRI), daily diary, and ecological momentary assessment data.
Table of Contents
1.Theory: Mathematical theorems about the relation between IAV and IEV. 2. P-Technique. 3. Vector Autoregression (VAR). 4. Dynamic Factor Analysis. 5. Model Specification and Selection Procedures.6. Models of Intraindividual Variability with Time-Varying Parameters (TVPs). 7. Control Theory Optimization of Dynamic Processes. 8. The Intersection of Network Science and IAV.
