| “The
Future of Longitudinal Studies: Measuring
Change In Changing Times "Disentangling Age, Cohort, and Period Effects" University of California, Davis Both
cross-sectional and longitudinal designs are limited in that they
confound age, cohort, and period effects. When sequential designs—which
only examine two such constructs at a time—are utilized to
disentangle these effects, important findings emerge. For example,
many cross-sectional and longitudinal studies have found that alcohol
consumption decreases with age, but they have utilized only a few
cohorts. When analyzing across cohorts, strong period effects emerge,
such that levels of drinking increased regardless of age and cohort
between 1973-1982, whereas they decreased between 1982-1991 for
all ages and cohorts (perhaps partially explained by public health
campaigns designed to reduce consumption). Carolyn Aldwin's presentation "Disentangling Age, Cohort, and Period Effects" can be viewed in PDF format, using Adobe® Acrobat® Reader®. |
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