Cross-sectional studies are observational research methods that analyze data from a population, or a representative subset, at one specific point in time.
Imagine cross-sectional studies as taking a snapshot with your camera. You capture everything within your view at one moment but can't see how things change over time.
Prevalence Study: This is similar to cross-sectional studies but specifically measures the total number of cases (prevalence) of a disease or condition in a population at a specific point in time.
Correlational Study: A type of non-experimental research method which involves observing two variables to determine if there is any relationship between them. It can be part of cross-sectional studies when looking for correlations among variables at one point in time.
Population Sample: The group selected for participation in an experiment or study. It should ideally represent the larger population from which it was drawn.
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