Analysis of Intra-Individual Variability : Time series methods: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Autor Kathleen M. Gates, Sy-Miin Chow, Peter C. M. Molenaaren Limba Engleză Hardback – 31 ian 2023
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.
Features:
- Description of time series, measurement, model building, and network methods for person-specific analysis
- Discussion of the statistical methods in the context of human research
- Empirical and simulated data examples used throughout the book
- R code for analyses and recorded lectures for each chapter available at the book website: https://www.personspecific.com/
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Specificații
ISBN-13: 9781482230598
ISBN-10: 1482230593
Pagini: 260
Ilustrații: 112
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.56 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
ISBN-10: 1482230593
Pagini: 260
Ilustrații: 112
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.56 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Notă biografică
Kathleen (Katie) Gates is an associate professor of Quantitative Psychology in the Department of Psychology at the University of North Carolina at Chapel Hill. She obtained her Ph.D. in the Department of Human Development and Family Studies (quant focus) at Penn State, a Masters of Forensic Psychology at the City University of New York (John Jay College), and a BS in Psychology from Michigan State University. Katie’s work is motivated by problems in analyzing individual-level data. She develops algorithms and programs that may aid researchers in better quantifying behavioral, psychophysiological, and emotional processes across time. The end goal is to help researchers identify patterns within individuals so we can provide person-specific prevention, treatment, and intervention protocols as well as better understand the varied basic physiological underpinnings for emotions, cognition, and behaviors.
Sy-Miin Chow is Professor of Human Development and Family Studies at the Pennsylvania State University. She is an elected fellow of the Alexander von Humboldt Foundation in Germany and a winner of the Cattell Award from the Society for Multivariate Experimental Psychology as well as the Early Career Award from the Psychometric Society. Her work focuses on methodologies for handling intensive longitudinal data, methodological issues that arise in studies of change and human dynamics; and models and approaches for representing the dynamics of emotions, child development and family processes, as well as ways of promoting well-being and risk prevention.
Peter C. M. Molenaar is Distinguished Professor of Human Development and Family Studies at the Pennsylvania State University. He is a recipient of the Pauline Schmitt Russell Distinguished Research Career Award from the College of Health and Human Development at Penn State, the Aston Gottesman Lecture Award from the University of Virginia, the Sells Award for Distinguished Mulitvariate Research from the Society for Multivariate Experimental Psychology (SMEP), and the Tanaka Award from SMEP in 2017. His work instituted what many characterize as a conceptual and methodological paradigm-shift in the analysis of psychological, social, and behavioral processes from an inter-individual to an intra-individual variation perspective.
Sy-Miin Chow is Professor of Human Development and Family Studies at the Pennsylvania State University. She is an elected fellow of the Alexander von Humboldt Foundation in Germany and a winner of the Cattell Award from the Society for Multivariate Experimental Psychology as well as the Early Career Award from the Psychometric Society. Her work focuses on methodologies for handling intensive longitudinal data, methodological issues that arise in studies of change and human dynamics; and models and approaches for representing the dynamics of emotions, child development and family processes, as well as ways of promoting well-being and risk prevention.
Peter C. M. Molenaar is Distinguished Professor of Human Development and Family Studies at the Pennsylvania State University. He is a recipient of the Pauline Schmitt Russell Distinguished Research Career Award from the College of Health and Human Development at Penn State, the Aston Gottesman Lecture Award from the University of Virginia, the Sells Award for Distinguished Mulitvariate Research from the Society for Multivariate Experimental Psychology (SMEP), and the Tanaka Award from SMEP in 2017. His work instituted what many characterize as a conceptual and methodological paradigm-shift in the analysis of psychological, social, and behavioral processes from an inter-individual to an intra-individual variation perspective.
Cuprins
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.
Descriere
The analysis of intra-individual variation (IAV) concerns time series analysis applied to human processes such as psychological, psycho-physiological, and disease processes. There are many features unique to this methodology and a need for a book giving an overview of the methods, with examples and software. This book fills that gap, covering all the key topics, notably dynamic factor models together with detailed worked examples from the behavioral sciences and special software for the analyses.