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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.

Series Editor's 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
About the Author
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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