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Group-Based Modeling of Development

Group-Based Modeling of Development

Group-Based Modeling of Development
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Group-Based Modeling of Development Hardback - 2005

by Nagin, Daniel S

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Harvard University Press. hardcover. Good. 6.5x0.9x9.6. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Group-Based Modeling of Development
  • Author Nagin, Daniel S
  • Binding Hardback
  • Edition First Edition.
  • Condition Used - Good
  • Pages 214
  • Volumes 1
  • Language ENG
  • Publisher Harvard University Press, Cambridge
  • Publication date 2005-04-25
  • Features Bibliography, Dust Cover, Index
  • Bookseller's Inventory # ANAIS-0674016866
  • ISBN 9780674016866 / 0674016866
  • Weight 0.99 lbs (0.45 kg)
  • Dimensions 9.56 x 6.44 x 0.81 in (24.28 x 16.36 x 2.06 cm)
  • Size 6.5x0.9x9.6
  • Category Sociology
  • Library of Congress subjects Longitudinal method
  • Library of Congress Catalogue Number 2004053925
  • Dewey Decimal Code 300.72
  • Quantity available 1

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From the publisher

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.

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