Example Of Cross Sectional Study Design

The researcher can evaluate people of different ages ethnicities geographical locations and social backgrounds.

Example of cross sectional study design. One common criticism is that the cross sectional design is prone to selection bias. Descriptive cross sectional studies the persistence and reach of a studied factor. This variation produces aanalytical reports that deal with the statistical relationship between two variables.

Of course it is worth noting that a cross sectional design also has its limitations. Cross sectional research involves using different groups of people who differ in the variable of interest but share other characteristics such as socioeconomic status educational background and. Two examples are used one common and one uncommon to demonstrate how cross sectional designs can be used in.

While this type of study cannot demonstrate cause and effect it can provide a quick look at correlations that may exist at a particular point. An example of a cross sectional study would be a medical study looking at the prevalence of breast cancer in a population. If a significant number of women from a certain social background are found to have the disease then the researcher can investigate further.

This means that the researcher may have some hidden reasons for choosing the participants of the study. The researcher can look at a wide range of ages ethnicities and social backgrounds. A researcher might collect cross sectional data on past smoking habits and current diagnoses of lung cancer for example.

This lesson explores the process and requirements in using a cross sectional design. This is different from analytical cross sectional studies. In other words the selection may not be as random as the research requires.

An example of this is surveying the epidemiology of a disease in a rural area. Another example of a cross sectional study would be a medical study examining the prevalence of cancer amongst a defined population.