Cross Sectional Survey

We could for example look at age gender income and educational level in relation to walking and cholesterol levels with little or no additional cost.

Cross sectional survey. Cross sectional surveys assess the prevalence of disease and the prevalence of risk factors at the same point in time and provide a snapshot of diseases and risk factors simultaneously in a defined population. Cross sectional studies are often used in developmental psychology but this method is also used in many other areas including social science and education. This is how we actually differentiate a cross sectional study and a longitudinal study.

In cross sectional research you observe variables without influencing them. A cross sectional study involves looking at data from a population at one specific point in time. In a cross sectional study we need to see what is happening at one particular point in time.

Although cross sectional research does not involve conducting experiments researchers often use it to understand outcomes in the physical and social sciences and many business industries. Cross sectional surveys may be repeated periodically. The benefit of a cross sectional study design is that it allows researchers to compare many different variables at the same time.

A cross sectional survey collects data to make inferences about a population of interest universe at one point in time. In economics cross sectional studies typically involve the use of cross sectional regression in order to sort out the existence and magnitude of causal effects of one independent. The participants in this type of study are selected based on particular variables of interest.

This study type is also known as cross sectional analysis transverse study or prevalence study. In medical research 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. 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.

However in a repeated cross sectional survey respondents to the survey at one point in time are not intentionally sampled again although a respondent to one administration of the survey could be randomly. Researchers in economics psychology medicine epidemiology and the other social sciences all make use of cross sectional studies in their work.