The overall structure for a quantitative design is based in the scientific method. It uses deductive reasoning, where the researcher forms a hypothesis, collects data in an investigation of the problem, and then uses the data from the investigation, after analysis is made and conclusions are shared, to prove the hypotheses not false or false." (Winston-Salem University, n.d.) Using this definition, we can come up with an example question, using correlation research we can ask what the relationship between diet and exercise are? We can use deductive reasoning to agree a healthy diet and exercise make the perfect combination. To back this up or come to a conclusion overall we can collect data and investigate those who just focus on diet or exercise and those who do both. Comparing the three different interviews we can determine who is overall healthier, who sees better outcomes and is overall happier in their life with their results. Conclusions will begin to be shaped and prove which way the trend sways. The good thing about quantitative data is that it is quick, reliable, and accurate information collected that eliminates bias once the conclusion is drawn because we look at all sides and have graphed what has shown to work without throwing our own thoughts out there.

Reference:

Fleetwood, D. (2023, January 10). Quantitative research: What it is, Tips & Examples. QuestionPro. Retrieved January 25, 2023, from https://www.questionpro.com/blog/quantitative-research/

Winston-Salem State University. (n.d.).Key elements of a research proposal: Quantitative design[PDF].https://www.wssu.edu/about/offices-and-departments/office-of-sponsored-programs/pre-award/_Files/documents/develop-quantitative.pdf