Researchers could then measure the blood pressure rates for smokers 21 to 30 years old, 31 to 40 years old and 41 to 50 years old. The study might also divide smokers into groups by age. For example, perhaps the study wants to look at the blood pressure rates of smokers and non-smokers. Multiple variablesĪ cross-sectional study allows researchers to compare different groups of subsets based on different variables. Rather than focusing on how their blood pressure rates came to be, the study just focuses on the present variables. For example, a study might look at the current blood pressure rates of people with different characteristics. Some characteristics of this type of study include: Short durationĪ cross-sectional study examines a specific issue at a single point in time, so they are relatively short. What is a cross-sectional study?Ī cross-sectional study allows researchers to compare different variables at the same point in time. In this article, we discuss what cross-sectional and longitudinal studies are, what differences exist between the two and some examples of each. ![]() Understanding both types of studies can help you decide which one would be the best one to use when conducting observational research. A cross-sectional study provides observable data related to a specific point in time, while a longitudinal study helps show researchers how data evolves over time. Researchers use both cross-sectional and longitudinal studies for recording and interpreting data.
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