"The overall structure for a quantitative design is based on 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 is. We can use deductive reasoning to agree that a healthy diet and exercise are the perfect combination. To back this up or conclude this, we can collect data and investigate those who focus on diet or exercise and those who do both. Comparing the three different interviews, we can determine who is healthier, who sees better outcomes, and who is happier with their results overall. 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 thoughts out there.

Please cite resources