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Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences / by Stephanie T. Lanza, Ashley N. Linden-Carmichael

By: Lanza, Stephanie T., (1969-), autor
Contributor(s): Linden-Carmichael, Ashley N., autor
Material type: materialTypeLabelE-bookSeries: (Behavioral Science and Psychology (SpringerNature-41168)); (Behavioral Science and Psychology (SpringerNature-43718)).Publisher: Cham : Springer International Publishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIII, 150 páginas).ISBN: 9783030709440.Subject: Series temporales | Análisis multivarianteOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Chapter 1. A Conceptual Introduction to Time-Varying Effect Modeling -- Chapter 2. Specifying and Interpreting Time-Varying Effect Models -- Chapter 3. Generalized Time-Varying Effect Models: Binary and Count Outcomes -- Chapter 4. Estimation and Technical Details -- Chapter 5. TVEM to Study Age-Varying Associations -- Chapter 6. TVEM to Study Historical Change -- Chapter 7. TVEM for Intensive Longitudinal Data -- Chapter 8. Further Applications and Future Directions. .
Abstract: This book is the first to introduce applied behavioral, social, and health sciences researchers to a new analytic method, the time-varying effect model (TVEM). It details how TVEM may be used to advance research on developmental and dynamic processes by examining how associations between variables change across time. The book describes how TVEM is a direct and intuitive extension of standard linear regression; whereas standard linear regression coefficients are static estimates that do not change with time, TVEM coefficients are allowed to change as continuous functions of real time, including developmental age, historical time, time of day, days since an event, and so forth. The book introduces readers to new research questions that can be addressed by applying TVEM in their research. Readers gain the practical skills necessary for specifying a wide variety of time-varying effect models, including those with continuous, binary, and count outcomes. The book presents technical details of TVEM estimation and three novel empirical studies focused on developmental questions using TVEM to estimate age-varying effects, historical shifts in behavior and attitudes, and real-time changes across days relative to an event. The volume provides a walkthrough of the process for conducting each of these studies, presenting decisions that were made, and offering sufficient detail so that readers may embark on similar studies in their own research. The book concludes with comments about additional uses of TVEM in applied research as well as software considerations and future directions. Throughout the book, proper interpretation of the output provided by TVEM is emphasized. Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences is an essential resource for researchers, clinicians/practitioners as well as graduate students in developmental psychology, public health, statistics and methodology for the social, behavioral, developmental, and public health sciences.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA280 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.17122058
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Chapter 1. A Conceptual Introduction to Time-Varying Effect Modeling -- Chapter 2. Specifying and Interpreting Time-Varying Effect Models -- Chapter 3. Generalized Time-Varying Effect Models: Binary and Count Outcomes -- Chapter 4. Estimation and Technical Details -- Chapter 5. TVEM to Study Age-Varying Associations -- Chapter 6. TVEM to Study Historical Change -- Chapter 7. TVEM for Intensive Longitudinal Data -- Chapter 8. Further Applications and Future Directions. .

This book is the first to introduce applied behavioral, social, and health sciences researchers to a new analytic method, the time-varying effect model (TVEM). It details how TVEM may be used to advance research on developmental and dynamic processes by examining how associations between variables change across time. The book describes how TVEM is a direct and intuitive extension of standard linear regression; whereas standard linear regression coefficients are static estimates that do not change with time, TVEM coefficients are allowed to change as continuous functions of real time, including developmental age, historical time, time of day, days since an event, and so forth. The book introduces readers to new research questions that can be addressed by applying TVEM in their research. Readers gain the practical skills necessary for specifying a wide variety of time-varying effect models, including those with continuous, binary, and count outcomes. The book presents technical details of TVEM estimation and three novel empirical studies focused on developmental questions using TVEM to estimate age-varying effects, historical shifts in behavior and attitudes, and real-time changes across days relative to an event. The volume provides a walkthrough of the process for conducting each of these studies, presenting decisions that were made, and offering sufficient detail so that readers may embark on similar studies in their own research. The book concludes with comments about additional uses of TVEM in applied research as well as software considerations and future directions. Throughout the book, proper interpretation of the output provided by TVEM is emphasized. Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences is an essential resource for researchers, clinicians/practitioners as well as graduate students in developmental psychology, public health, statistics and methodology for the social, behavioral, developmental, and public health sciences.

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