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cross-sectional designs
different cohorts of individuals tested at the same time
cohort: group that has some characteristic in common (usually different age groups)
between subjects
longitudinal design
one cohort (usually individuals of same age group) tested repeatedly over time
within-subjects (same individuals at each test)
cross-sequential/time lag design
different cohorts tested at multiple points in life
differences between cohorts in rates of change
differences between cohorts at particular ages (holding ages constant)
confounding variables still present
selectie survival
changes in population across time (due to deaths)
problem for cross-sectional and longitudinal designs
threat to external and internal validity
external → population no longer one that was sampled from
internal → weaker, less competent, less adjusted individuals typically live shorter lives
selective dropout
participants drop out of the sample
problem for longitudinal designs
threat to external and internal validity
external → if non-random, then systematic differences between stayers vs, leavers
internal → same reasoning as above
practice/testing effects
repeated testing makes participants task- or test-wise
problem for longitudinal designs (and same individuals at each testing point
threat to internal validity
particularly issue for development of cognitive ability and skills
history effect
environment factor changes trend in scores over time
problem for longitudinal designs
threat internal validty
cohort effect
cohort is a confounding variable
problem for cross-sectional designs
threat to internal validity