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Group-based modeling of development /
Annotation This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Mass. :
Harvard University Press,
©2005.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Nagin, Daniel S., |d 1948- | |
| 245 | 1 | 0 | |a Group-based modeling of development / |c Daniel S. Nagin. |
| 260 | |a Cambridge, Mass. : |b Harvard University Press, |c ©2005. | ||
| 300 | |a 1 online resource (x, 201 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references (pages 187-198) and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | 8 | |a Annotation This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality over the life course, changes in income over time, the course of a disease or physiological condition, or the evolution of the socioeconomic status of communities. Using real-world research data from longitudinal studies, the book explains and applies this method for identifying distinctive time-based progressions called developmental trajectories. Rather than assuming the existence of developmental trajectories of a specific form before statistical data analysis begins, the method allows the trajectories to emerge from the data itself. Thus, in an analysis of data on Montreal school children, it teases apart four distinct trajectories of physical aggression over the ages 6 to 15, examines predictors of these trajectories, and identifies events that may alter the trajectories. Aimed at consumers of statistical methodology, including social scientists, criminologists, psychologists, and medical researchers, the book presents the statistical theory underlying the method with a mixture of intuition and technical development. | |
| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Acknowledgments -- |t 1. Introduction and Rationale -- |t 2. The Basic Model -- |t 3. Groups as an Approximation -- |t 4. Model Selection -- |t 5. Posterior Group-Membership Probabilities -- |t 6. Statistically Linking Group Membership to Covariates -- |t 7. Adding Covariates to the Trajectories Themselves -- |t 8. Dual Trajectory Analysis -- |t 9. Concluding Observations -- |t References -- |t Index. |
| 546 | |a In English. | ||
| 590 | |a JSTOR |b Books at JSTOR All Purchased | ||
| 590 | |a JSTOR |b Books at JSTOR Demand Driven Acquisitions (DDA) | ||
| 650 | 0 | |a Longitudinal method. | |
| 650 | 0 | |a Age factors in disease. | |
| 650 | 2 | |a Longitudinal Studies | |
| 650 | 2 | |a Psychology |x methods | |
| 650 | 2 | |a Age Factors | |
| 650 | 2 | |a Models, Psychological | |
| 650 | 2 | |a Models, Statistical | |
| 650 | 6 | |a Méthode longitudinale. | |
| 650 | 6 | |a Maladies |x Facteurs liés à l'âge. | |
| 650 | 6 | |a Psychologie |x Méthodes de simulation. | |
| 650 | 7 | |a SOCIAL SCIENCE |x Research. |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE |x Methodology. |2 bisacsh | |
| 650 | 7 | |a Age factors in disease. |2 fast |0 (OCoLC)fst00800172 | |
| 650 | 7 | |a Longitudinal method. |2 fast |0 (OCoLC)fst01002409 | |
| 776 | 0 | 8 | |i Print version: |a Nagin, Daniel. |t Group-based modeling of development. |d Cambridge, Mass. : Harvard University Press, ©2005 |z 0674016866 |z 9780674016866 |w (DLC) 2004053925 |w (OCoLC)56481908 |
| 856 | 4 | 0 | |u https://jstor.uam.elogim.com/stable/10.2307/j.ctvjf9z1f |z Texto completo |
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