Continuous Time Modeling in the Behavioral and Related Sciences
This unique book provides an overview of continuous time modeling in the behavioral and related sciences. It argues that the use of discrete time models for processes that are in fact evolving in continuous time produces problems that make their application in practice highly questionable. One main issue is the dependence of discrete time parameter estimates on the chosen time interval, which leads to incomparability of results across different observation intervals. Continuous time modeling by means of differential equations offers a powerful approach for studying dynamic phenomena, yet the use of this approach in the behavioral and related…
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Produktdetails
Weitere Autoren: Oud, Johan H. L. (Hrsg.) / Voelkle, Manuel C. (Hrsg.)
- ISBN: 978-3-030-08401-1
- EAN: 9783030084011
- Produktnummer: 32715947
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 456 S.
- Masse: H23.5 cm x B15.5 cm x D2.4 cm 686 g
- Auflage: Softcover reprint of the original 1st ed. 2018
- Abbildungen: Paperback
- Gewicht: 686
Über den Autor
Kees van Montfort is a professor of Quantitative Research Methodology at the Nyenrode Business Universiteit (Department of Marketing and Supply Chain Management) and a professor of Biostatistics at the Erasmus University Rotterdam (Department of Oncology). He is currently working on quantitative data analyses with researchers from several departments of the Nyenrode Business Universiteit and the Erasmus University Rotterdam. Additionally, he is pursuing the development of new statistical methods and techniques in the field of structural equation models, state space models and survival analysis.Johan H.L. Oud is an associate professor at the Behavioural Science Institute of Radboud University, Nijmegen, the Netherlands, and visiting professor at Padjadjaran University, Bandung, Indonesia. His research interests are in family relations, structural equation modeling (SEM), longitudinal research, monitoring system construction, and continuous time analysis by means of SEM. He has published a series of papers and book chapters, and edited several books, in these fields. He introduced the use of structural equation modeling into discrete-time and continuous-time state space modeling. Manuel C. Voelkle is a professor of Psychological Research Methods at the Humboldt Universität zu Berlin and an adjunct researcher at the Max Planck Institute for Human Development. His research interests chiefly concern the design and analysis of multivariate empirical studies, with an emphasis on the use of structural equation models for the analysis of longitudinal data. Most of his methodological work addresses continuous time modeling and analyzing the intricate relationship of between- and within-person differences in psychological constructs as they evolve over time. He collaborates closely with other researchers in the study of developmental dynamics in affective and cognitive functioning.
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