Group-based modeling of development:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass
Harvard University Press
c2005
|
| Schlagworte: | |
| Online-Zugang: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-473 DE-739 Volltext |
| Beschreibung: | Includes bibliographical references (p. [187]-198) and index 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 |
| Beschreibung: | 1 Online-Ressource (x, 201 p) |
| ISBN: | 9780674041318 |
| DOI: | 10.4159/9780674041318 |
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| 500 | |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 | ||
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Datensatz im Suchindex
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| id | DE-604.BV042692987 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-18T15:07:33Z |
| institution | BVB |
| isbn | 9780674041318 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028124606 |
| oclc_num | 431347207 |
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| physical | 1 Online-Ressource (x, 201 p) |
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| publishDate | 2005 |
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| publisher | Harvard University Press |
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| spelling | Nagin, Daniel Verfasser aut Group-based modeling of development Daniel S. Nagin Cambridge, Mass Harvard University Press c2005 1 Online-Ressource (x, 201 p) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references (p. [187]-198) and index 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 Age Factors Longitudinal Studies Models, Psychological Models, Statistical Psychology / methods Longitudinal method Längsschnittuntersuchung (DE-588)4034036-3 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Längsschnittuntersuchung (DE-588)4034036-3 s Methode (DE-588)4038971-6 s 1\p DE-604 https://doi.org/10.4159/9780674041318 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Nagin, Daniel Group-based modeling of development Age Factors Longitudinal Studies Models, Psychological Models, Statistical Psychology / methods Longitudinal method Längsschnittuntersuchung (DE-588)4034036-3 gnd Methode (DE-588)4038971-6 gnd |
| subject_GND | (DE-588)4034036-3 (DE-588)4038971-6 |
| title | Group-based modeling of development |
| title_auth | Group-based modeling of development |
| title_exact_search | Group-based modeling of development |
| title_full | Group-based modeling of development Daniel S. Nagin |
| title_fullStr | Group-based modeling of development Daniel S. Nagin |
| title_full_unstemmed | Group-based modeling of development Daniel S. Nagin |
| title_short | Group-based modeling of development |
| title_sort | group based modeling of development |
| topic | Age Factors Longitudinal Studies Models, Psychological Models, Statistical Psychology / methods Longitudinal method Längsschnittuntersuchung (DE-588)4034036-3 gnd Methode (DE-588)4038971-6 gnd |
| topic_facet | Age Factors Longitudinal Studies Models, Psychological Models, Statistical Psychology / methods Longitudinal method Längsschnittuntersuchung Methode |
| url | https://doi.org/10.4159/9780674041318 |
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