Cross Sectional Study Examples

The participants in this type of study are selected based on particular variables of interest.

Cross sectional study examples. The longitudinal study uses time as the main variable and tries to make an in depth study of how a small sample changes and fluctuates over time. The opposite of a cross sectional study is a longitudinal study while cross sectional studies collect data from many subjects at a single point in time longitudinal studies collect data repeatedly from the same subjects over time often focusing on a smaller group of individuals that are connected by a common trait. Descriptive cross sectional studies the persistence and reach of a studied factor.

This is unlike a longitudinal study where variables can change throughout the research. Although real life investigations show evidence of both properties it is still best to decipher how these types differ. A cross sectional study is a tool used by researchers to gather data consisting of multiple variables at a specific point in time.

In economics cross sectional studies typically involve the use of cross sectional. Cross sectional research is used to examine one variable in different groups that are similar in all other characteristics. Cross sectional studies collect and analyze both descriptive and analytical data.

A cross sectional study on the other hand takes a snapshot of a population at a certain time allowing conclusions about phenomena across a wide population to be drawn. An example of a cross sectional study would be a medical study looking at. Cross sectional studies are often used in developmental psychology but this method is also used in many other areas including social science and education.

Learn more about cross sectional research in this lesson and test your. The data collected in a cross sectional study involves subjects or participants who are similar in all variables except the one which is under review. 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 involves looking at data from a population at one specific point in time. 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. This variable remains constant throughout the cross sectional study.