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In statistics and econometrics, cross-sectional data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at a single point or period of time. Analysis of cross-sectional data usually consists of comparing the differences among selected subjects, typically with no regard to differences in time.
A cross-sectional study is a type of research design in which you collect data from many different individuals at a single point in time. In cross-sectional research, you observe variables without influencing them.
A cross-sectional study is a type of observational research that analyzes data from a population, or a representative subset, at a specific point in time. It's used to examine the relationship between different variables and does not involve manipulation or control over variables.
In medical research, epidemiology, social science, and biology, a cross-sectional study (also known as a cross-sectional analysis, transverse study, prevalence study) is a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time —that is, cross-sectional data. [definition needed]
Cross-sectional studies are observational and are known as descriptive research, not causal or relational—meaning you can't use them to determine the cause of something, such as a disease. Researchers record the information that is present in a population, but they do not manipulate variables.
A cross-sectional study is an experimental design that analyzes data from a representative sample at a specific point in time. Researchers usually evaluate multiple attributes at once when using this design.
What is cross-sectional data? Cross-sectional data is collected from a sample of individuals, objects, or entities at a single point in time. In other words, this type of data provides a snapshot or a ‘cross-section’ of a population or a sample at a particular moment.
A cross-sectional study, or cross-sectional analysis, is a type of observational research design that involves the collection of data from a sample of individuals or subjects at a single point in time.
A cross-sectional study is a type of research design in which you collect data from many different individuals at a single point in time. In cross-sectional research, you observe variables without influencing them.
What is a cross-sectional study in research? What is the difference between cross-sectional and longitudinal research? Cross-sectional studies are a fundamental research method used across various fields to analyze data at a specific point in time.