Example Of Cross Sectional Research

An example of a cross sectional study would be a medical study looking at the prevalence of breast cancer in a population.

Example of cross sectional research. Descriptive cross sectional studies the persistence and reach of a studied factor. The outcome variable is the presence or absence of copd and the exposure is the smoking status. A researcher might collect cross sectional data on past smoking habits and current diagnoses of lung cancer for example.

In a simple hypothetical example of a cross sectional study we record the prevalence of copd and investigate the association between copd and smoking status in adult patients. Cross sectional study example 2. You first conduct a cross sectional study with a sample of diabetes patients to see if there are differences in health outcomes like weight or blood sugar in those who follow a low carb diet.

An example of this is surveying the epidemiology of a disease in a rural area. 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. You want to study the impact that a low carb diet has on diabetes.

The above mentioned case is basically an example of cross sectional study where the document that was sent to the school was a basic questionnaire. A cross sectional study also referred to as cross sectional research is simply a study in which data are collected at one point in time. In other words data are collected on a snapshot basis as opposed to collecting data at multiple points in time for example once a week once a month etc and assessing how it changes over time.

Although real life investigations show evidence of both properties it is still best to decipher how these types differ. The researcher can evaluate people of different ages ethnicities geographical locations and social backgrounds. 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. The researcher can look at a wide range of ages ethnicities and social backgrounds.