Group-based modeling of development

Group-based modeling of development / Daniel S. Nagin.

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...

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Bibliographic Details
Main Author: Nagin, Daniel S., 1948-
Format: eBook
Language:English
Published: Cambridge, Mass. : Harvard University Press, ©2005.
Subjects:
Longitudinal method.
Age factors in disease.
SOCIAL SCIENCE > Research.
SOCIAL SCIENCE > Methodology.
Age factors in disease
Longitudinal method
Online Access:Click for online access

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100 1 |a Nagin, Daniel S.,  |d 1948-  |1 https://id.oclc.org/worldcat/entity/E39PBJg8BFvhQJ9HmDdWykwpyd 
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 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
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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. 
650 0 |a Longitudinal method. 
650 0 |a Age factors in disease. 
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 
650 7 |a Longitudinal method  |2 fast 
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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://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=3300109  |y Click for online access 
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