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Models for intensive longitudinal data
ISBN: 9780195173444 ;ISBN: 0195173449 ;EISBN: 9780199847051 ;EISBN: 0199847053 ;EISBN: 9780198038665 ;EISBN: 0198038666 ;EISBN: 019029163X ;EISBN: 9780190291631 ;DOI: 10.1093/acprof:oso/9780195173444.001.0001 ;OCLC: 71810603
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Title:
Models for intensive longitudinal data
Author:
Walls, Theodore A
;
Schafer, Joseph L
Schafer, Joseph L
;
Walls, Theodore A
Subjects:
Datenanalyse
;
Datenerfassung
;
Gesundheitswissenschaften
;
Item-Response-Theorie
;
Lehrbuch
;
Longitudinal method
;
Longitudinal studies
;
Längsschnittuntersuchung
;
Mehrebenenanalyse
;
Messverfahren
;
Methodologie
;
Modell
;
Social
Psychology
;
Social
sciences
;
Sozialforschung
;
Sozialwissenschaften
;
Statistical methods
;
Statistische Methode
;
Verhaltensforschung
Description:
Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence the statistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists working on ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting and applying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing of measurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designing new studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in a range of fields. (DIPF/Orig.).
Publisher:
New York: Oxford Univ. Press
Creation Date:
2006
Format:
XXII, 288
Language:
English
Identifier:
ISBN: 9780195173444
ISBN: 0195173449
EISBN: 9780199847051
EISBN: 0199847053
EISBN: 9780198038665
EISBN: 0198038666
EISBN: 019029163X
EISBN: 9780190291631
DOI: 10.1093/acprof:oso/9780195173444.001.0001
OCLC: 71810603
Source:
Ebook Central Academic Complete
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