Clearly visible design differences in qualitative versus quantitative research are these: Qualitative research involves words, images, or objects; Quantitative implies data in the form of numbers and statistics. The researcher uses in-depth interviews in qualitative research to find out how subjects see their world. In quantitative research the researcher uses precise measurements to predict hypotheses. In qualitative research the researcher changes the subject's environment and uses these in-depth questionnaires to find different attitudes about the world we live in. The amount can be personal, as in periodic visits with researchers to analyze symptoms and record data. Qualitative and quantitative can overlap in the internal interview process in quantitative research to record data and test subjects' symptoms. The two projects may overlap but ultimately there are differences such as numerical data collection and statistics that will always disagree. I will not always agree with the statement that quantitative research is impersonal because experience is the best knowledge to know is not true even if on the surface quantitative research seems impersonal because you get raw data. Start with the interview first in both methods. It then progresses and bifurcates into two very different methods. The human quality is present throughout the study in quantitative research, even if you are required to enter data into the system daily. When you periodically meet researchers you are reminded of the human quality. Researchers in all research take care of their subjects, albeit in a professional manner. In conclusion, these are the definitive differences between the two methods that are most recognized: the quantitative method first involves a clearly stated theory and hypothesis at the beginning, the qualitative methods do not formulate a hypothesis until the end of the study. Secondly, the quantitative method involves manipulation and control. An example of manipulation is the drug while the control is the placebo. The drug is the tool on which you experiment, analyze the data you provide and reason on a theory or hypothesis. Then the data is reduced to abstract and understandable statistics for statisticians. Secondly, in comparison, qualitative research ends with the hypothesis, it involves the emergence and representation of the world through the eyes of the subject, the researcher changes the subject's environment so that he/she can observe how the subject reacts in certain ways, the researcher measures emotional responses and is directly involved in the research as an accomplice or impartial observer.