Cohort Analysis / Edition 2

by Norval D. Glenn

Overview

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, and illustrates appropriate methods with analyses of personal happiness and attitudes toward premarital and extramarital sexual relations. Finally, the book describes the major sources of suitable data for cohort studies and gives the criteria for appropriate data.

Product Details

ISBN-13:	9780761922155
Publisher:	SAGE Publications
Publication date:	01/10/2005
Series:	Quantitative Applications in the Social Sciences , #5
Edition description:	Second Edition
Pages:	72
Product dimensions:	5.50(w) x 8.50(h) x (d)

About the Author

Norval D. Glenn, Professor Emeritus of Sociology, who taught for 47
years at The University of Texas at Austin, died February 15, 2011,
after a two-year battle with myelodysplastic syndrome, a form of blood cancer. He was 77 years old. He was a valued friend and colleague.

Norval D. Glenn is the Ashbel Smith Professor in Sociology and Stiles Professor in American Studies at the University of Texas at Austin. His main research interests relate to aging and the life course, and family relations in modern societies. He is a former editor of Contemporary Sociology and the Journal of Family Issues, and he has served on the editorial boards of such journals as the American Sociological Review, Public Opinion Quarterly, Journal of Marriage and Family, Demography, and Social Science Research.

His recent publications deal with such topics as the dissemination of social science findings to policy makers and the general public, changes in the institutional mechanisms of mate selection, and the relationship of age at marriage to marital success.

Table of Contents

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