國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Time-varying effect modeling for the...

Lanza, Stephanie T.

Time-varying effect modeling for the behavioral, social, and health sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Time-varying effect modeling for the behavioral, social, and health sciencesby Stephanie T. Lanza, Ashley N. Linden-Carmichael.
作者:	Lanza, Stephanie T.
其他作者:	Linden-Carmichael, Ashley N.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xiii, 150 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Time-series analysis.
電子資源:	https://doi.org/10.1007/978-3-030-70944-0
ISBN:	9783030709440$q(electronic bk.)

Time-varying effect modeling for the behavioral, social, and health sciences
Lanza, Stephanie T.

Time-varying effect modeling for the behavioral, social, and health sciences[electronic resource] /by Stephanie T. Lanza, Ashley N. Linden-Carmichael. - Cham :Springer International Publishing :2021. - xiii, 150 p. :ill., digital ;24 cm.

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.

ISBN: 9783030709440$q(electronic bk.)

Standard No.: 10.1007/978-3-030-70944-0doiSubjects--Topical Terms:

181890
Time-series analysis.

LC Class. No.: QA280 / .L35 2021

Dewey Class. No.: 519.55

Time-varying effect modeling for the behavioral, social, and health sciences
LDR:03513nmm a2200325 a 4500 001 598253
003 DE-He213
005 20210506085906.0
006 m d
007 cr nn 008maaau
008 211025s2021 sz s 0 eng d
020 $a 9783030709440$q(electronic bk.)
020 $a 9783030709433$q(paper)
024 7 $a 10.1007/978-3-030-70944-0 $2 doi
035 $a 978-3-030-70944-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA280 $b .L35 2021
072 7 $a JMC $2 bicssc
072 7 $a PSY039000 $2 bisacsh
072 7 $a JMC $2 thema
082 0 4 $a 519.55 $2 23
090 $a QA280 $b .L297 2021
100 1 $a Lanza, Stephanie T. $3 891946
245 1 0 $a Time-varying effect modeling for the behavioral, social, and health sciences $h [electronic resource] / $c by Stephanie T. Lanza, Ashley N. Linden-Carmichael.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiii, 150 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Time-series analysis. $3 181890
650 0 $a Multivariate analysis. $3 181905
650 1 4 $a Developmental Psychology. $3 275080
650 2 4 $a Public Health. $3 320661
650 2 4 $a Methodology of the Social Sciences. $3 275266
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 825904
700 1 $a Linden-Carmichael, Ashley N. $3 891947
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-70944-0
950 $a Behavioral Science and Psychology (SpringerNature-41168)