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Q: When marketing researchers consider sampling techniques they are preparing to collect what kind of data?
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What is the definition of quantitative and qualitative?

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.


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Factors that determine sample size


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What distinguishes a probability sample from a non probability sample?

I believe you meant to ask: What distinguishes a random sample from a non random sample? A random sample means the selection or sampling from the population is by chance. Looking at the data, one might not be able to tell if the sample is random or selective. Consider a marketing survey which is included everytime you buy an item online. Random or non-random? It is a survey of recent customers, and probably a pretty good one. But it is not a random selection of all customers who have made purchases with clients.

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