A trend study examines changes in a population characteristic over time by drawing new samples from the same population at each measurement occasion. The focus is on how aggregate distributions or averages shift, not on following the same individuals. This design is common in opinion polls and large-scale social surveys. Therefore, a longitudinal survey that uses different samples at successive times is correctly called a trend study.
Option A:
Panel studies repeatedly survey the same individuals over time, allowing analysis of individual-level change but not necessarily different samples of the population, so they do not match the stem.
Option B:
Cohort studies focus on a specific subpopulation that experienced a common event in the same period, such as a birth year group, and may follow either the same individuals or different samples from that cohort. They differ slightly from general population trend designs.
Option C:
Trend studies reveal shifts in attitudes or behaviours at the population level, such as changes in support for a policy across years, by comparing results from independently drawn samples. This feature aligns exactly with the stem, making this option correct.
Option D:
Cross-sectional studies collect data at only one point in time and therefore cannot track population change across multiple time points, so cross-sectional is not appropriate here.
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