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Quantilative is where quantitative and qualitative data start to blur. You can ask a question in a quantitative fashion (survey question) but if you have a small sample size, then you need to interpret the data qualitatively (e.g., few, some, most) as opposed to quantitatively (e.g., 10%). it can go the other way as well. If you have a qualitative exercise (e.g., highlighter exercise) that you deploy to a large sample size, you can interpret that data quantitatively (e.g., % who selected a certain area of the image).
There are a number of ways to describe a research design. For example, a study may be either quantitative or qualitative, depending on the type of data that is collected and the degree of mathematical rigor to which it is subjected. A qualitative study generally consists of literature surveys and experience surveys. A literature survey is simply a search through available journals, newspapers, magazines, documents and other publications. This is usually a good place to begin your research. After all, if someone has already researched your question then it doesn't make sense to reinvent the wheel. The experience survey is comprised of interviews of people who are experienced in the area that you are researching. These types of interviews are generally informal and unstructured, but researchers often develop a set of questions to use as a guide. It is to your advantage to keep the interviews unstructured in order to allow the expert to elaborate their ideas and opinions. It's likely that this type of interview will generate more questions than answers. Quantitative studies provide numerical data that is used to describe your research topic. If you are conducting marketing research, you might be asked to describe characteristics of typical users of a product. Some quantitative data that you might consider collecting include age, sex and level of education. Other examples of quantitative data include the percentage of people who can recognize your logo. For other examples of quantitative research data that is used in marketing, please visit http://www.themarketinganalysts.com/en/pages/analytical-predictive-marketing-research.
The leading questions in a sample survey is the purpose of the survey and the expectations of the interviewees.
Statistics: Survey of an entire population, as opposed to a sample survey.
A sample survey is quicker and cheaper. If the survey is well designed then the results are likely to be close to their true values.