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Cohort Analysis, Second Edition covers the basics of the cohort approach to studying aging, social, and cultural change. This volume also critiques several commonly used (but flawed) methods of cohort analysis, illustrates appropriate methods, and describes the major sources of suitable data for cohort studies.

 
Preface
 
Series Editor's Introduction
 
Introduction
The Purposes of Cohort Analysis

 
Definitions; Comparison of Cohort Analysis with Related Methods

 
The Identification Problem

 
 
Strategies for Estimating Age, Period, and Cohort Effects
The Mason, Mason, Winsborough, and Poole Method

 
The Nakamura Bayesian Method

 
The Quest Continues

 
Age-Period-Cohort-Characteristic (APCC) Models

 
Informal Means of Assessing APC Effects

 
An Illustration: A Cohort Analysis of Personal Happiness

 
 
Use of Cohort Analysis for Understanding Change
 
Data Requirements and Availability
Data Requirements

 
Data Availability

 
 
The Future
 
Notes
 
References
 
About the Author
Key features
KEY FEATURES:
  • Features a chapter on the analysis of survey data, including a discussion of the problems posed by question order effects when data from different surveys are used in a cohort analysis
  • Emphasizes the difference between linear and nonlinear effects
  • Gives instructions on how to use available data from cohort studies, such as the National Election Studies, the General Social Surveys, and the Census.

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