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New avenues for cohort analysis in s...

Yang, Yang.

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New avenues for cohort analysis in social research.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New avenues for cohort analysis in social research./
作者:	Yang, Yang.
面頁冊數:	197 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-06, Section: A, page: 2398.
Contained By:	Dissertation Abstracts International66-06A.
標題:	Sociology, Demography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3181491
ISBN:	9780542210556

New avenues for cohort analysis in social research.
Yang, Yang.

New avenues for cohort analysis in social research. - 197 p.

Source: Dissertation Abstracts International, Volume: 66-06, Section: A, page: 2398.

Thesis (Ph.D.)--Duke University, 2005.

This dissertation revisits the age-period-cohort (APC) models approach and suggests new avenues for cohort analysis. The first essay integrates new developments in methods for the estimation of APC models into a Generalized Linear Mixed Models (GLMM) framework that can be applied across three commonly employed research designs. These include the Intrinsic Estimator for analysis of population level tabular data, the hierarchical APC (HAPC) analysis of micro repeated cross-sectional data, and accelerated longitudinal data. The second essay conducts a new APC analysis of adult cause-specific mortality in the U.S. using the Intrinsic Estimator method that simultaneously accounts for the age, period, and cohort effects. It highlights the importance of cohort effects in explaining recent mortality trends for both sexes and four leading causes of deaths. The third essay introduces linear mixed-effects models for APC analysis of repeated cross-sectional sample surveys. It shows how cross-classified random effects models can be used to shed new light on recent debates in the sociological literature regarding intercohort declines in verbal ability. The fourth essay addresses a long-standing problem in research on the association of aging and depression. The analysis employs growth curve models to examine age growth trajectories of depression over time and across multiple cohorts. Taken all together, the dissertation shows that empirical applications of the APC models and methods recently developed by Yang and colleagues yield new scientific findings of importance to improving the quality of life in the United States. These contributions should stimulate numerous future methodological developments and substantive research.

ISBN: 9780542210556Subjects--Topical Terms:

1020257
Sociology, Demography.

New avenues for cohort analysis in social research.
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502 $a Thesis (Ph.D.)--Duke University, 2005.
520 $a This dissertation revisits the age-period-cohort (APC) models approach and suggests new avenues for cohort analysis. The first essay integrates new developments in methods for the estimation of APC models into a Generalized Linear Mixed Models (GLMM) framework that can be applied across three commonly employed research designs. These include the Intrinsic Estimator for analysis of population level tabular data, the hierarchical APC (HAPC) analysis of micro repeated cross-sectional data, and accelerated longitudinal data. The second essay conducts a new APC analysis of adult cause-specific mortality in the U.S. using the Intrinsic Estimator method that simultaneously accounts for the age, period, and cohort effects. It highlights the importance of cohort effects in explaining recent mortality trends for both sexes and four leading causes of deaths. The third essay introduces linear mixed-effects models for APC analysis of repeated cross-sectional sample surveys. It shows how cross-classified random effects models can be used to shed new light on recent debates in the sociological literature regarding intercohort declines in verbal ability. The fourth essay addresses a long-standing problem in research on the association of aging and depression. The analysis employs growth curve models to examine age growth trajectories of depression over time and across multiple cohorts. Taken all together, the dissertation shows that empirical applications of the APC models and methods recently developed by Yang and colleagues yield new scientific findings of importance to improving the quality of life in the United States. These contributions should stimulate numerous future methodological developments and substantive research.
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