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020			_a9783030709440
024	7		_a10.1007/978-3-030-70944-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA280 _b2021 EB
100	1		_aLanza, Stephanie T. _eautor _9680617 _d1969-
245	1	0	_aTime-Varying Effect Modeling for the Behavioral, Social, and Health Sciences _cby Stephanie T. Lanza, Ashley N. Linden-Carmichael
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XIII, 150 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aBehavioral Science and Psychology (SpringerNature-41168)
490	0		_aBehavioral Science and Psychology (SpringerNature-43718)
505	0		_aChapter 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. .
520	3		_aThis 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.
988			_aSpringer_Psychology_2021
650		7	_2embne _9141270 _aSeries temporales
650		7	_2embne _9142349 _aAnálisis multivariante
700	1		_aLinden-Carmichael, Ashley N. _eautor _9680618
776	0	8	_iPrinted edition: _z9783030709433
776	0	8	_iPrinted edition: _z9783030709457
776	0	8	_iPrinted edition: _z9783030709464
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70944-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eIG _zSI