What is the difference between repeated cross-sectional data and longitudinal panel data?
When I see panel data, I think longitudinal data, so observations collected on the same individuals at multiple times, on the same topics. Repeated cross sections should be the same topics, but you get different samples of individuals at each observation.
Is repeated measures cross-sectional?
The repeated measures design is an embellishment of the cross-sectional approach in which the original cross-sectional study sample is followed longitudinally, thus becoming a prospective cohort study.
What is a cross-sectional study in statistics?
Cross-sectional studies are observational studies that analyze data from a population at a single point in time. They are often used to measure the prevalence of health outcomes, understand determinants of health, and describe features of a population.
What is the purpose of a cross-sectional study?
What is the difference between cross-sectional data and panel data?
Cross sectional data means that we have data from many units, at one point in time. Time series data means that we have data from one unit, over many points in time. Panel data (or time series cross section) means that we have data from many units, over many points in time.
What is cross-sectional data examples?
Cross-sectional data refer to observations of many different individuals (subjects, objects) at a given time, each observation belonging to a different individual. A simple example of cross-sectional data is the gross annual income for each of 1000 randomly chosen households in New York City for the year 2000.
What is an example of a cross-sectional study?
Another example of a cross-sectional study would be a medical study examining the prevalence of cancer amongst a defined population. The researcher can evaluate people of different ages, ethnicities, geographical locations, and social backgrounds.
What is cross-sectional data with example?