Isolating Age, Period, and Cohort Effects in Developmental Research
- 1 December 1986
- journal article
- research article
- Published by SAGE Publications in Research on Aging
- Vol. 8 (4) , 460-479
- https://doi.org/10.1177/0164027586008004002
Abstract
Separating age, period, and cohort effects in developmental research is complicated by their linear dependence. Differing approaches have been advanced to address this problem. These approaches generally presume that age, period, and cohort are conceptually discrete entities; that is, they are confounded statistically, but not logically. This article outlines the dilemma, reviews solutions that have been advanced, and critically examines the assumptions on which these solutions are based.Keywords
This publication has 12 references indexed in Scilit:
- Life Satisfaction and Old AgeResearch on Aging, 1984
- What Is a Cohort and Why?Human Development, 1978
- Cohort Analysts' Futile Quest: Statistical Attempts to Separate Age, Period and Cohort EffectsAmerican Sociological Review, 1976
- Social and Demographic Factors in American Political Party Affiliations, 1952-72American Sociological Review, 1974
- Aging and ConservatismThe Annals of the American Academy of Political and Social Science, 1974
- Some Methodological Issues in Cohort Analysis of Archival DataAmerican Sociological Review, 1973
- An extension of developmental models that separate ontogenetic changes and cohort differences.Psychological Bulletin, 1973
- Longitudinal and Cross-Sectional Sequences in the Study of Age and Generation EffectsHuman Development, 1968
- Longitudinal Studies and The Measurement of ChangeJournal of the Royal Statistical Society: Series D (The Statistician), 1968
- A general model for the study of developmental problems.Psychological Bulletin, 1965