Cross Sectional Design Example

Descriptive cross sectional studies the persistence and reach of a studied factor.

Cross sectional design example. We will discuss two uses of a cross sectional design to illustrate how they are used. This variation produces aanalytical reports that deal with the statistical relationship between two variables. Therefore the epidemiologist would compile some questions regarding the total hours which were.

For example if there is a simple cross sectional design in which an epidemiologist would be trying to find out if there is a link between the grades of students and television watching as she infers that the students who spend most of their time watching too much television do not get sufficient time to do their homework and perform poorly at school too. Cross sectional design aims to do the same thing but rather than take a single group of the same ages and repeatedly test them as they grow older this design takes a group of individual of different ages of developmental stages and compare how the specific behavior is different from one age group to another. The researcher can evaluate people of different ages ethnicities geographical locations and social backgrounds.

A researcher might collect cross sectional data on past smoking habits and current diagnoses of lung cancer for example. 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. 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.

Another example of a cross sectional study would be a medical study examining the prevalence of cancer amongst a defined population. This is different from analytical cross sectional studies. For example a cross sectional study might be used to determine if exposure to specific risk factors might correlate with particular outcomes.

An example of this is surveying the epidemiology of a disease in a rural area. The benefit of a cross sectional study design is that it allows researchers to compare many different variables at the same time. An example of cross sectional analysis in economics is the regression of money demand the amounts that various people hold in highly liquid financial assets at a particular time upon their income total financial wealth and various demographic factors.