Discuss what is meant by sampling when conducting market research. Identify the two categories of samples, and provide examples of different types of samples from each category.

What will be an ideal response?


Answers will vary. A sample is a subset from a larger population. Samples are broadly of two types: probability sample and nonprobability sample.Several questions must be answered before a sampling plan is chosen. First, the population, or universe, of interest must be defined. This is the group from which the sample will be drawn. It should include all the people whose opinions, behavior, preferences, attitudes, and so on, are of interest to the marketer. For example, in a study whose purpose is to determine the market for a new canned dog food, the universe might be defined to include all current buyers of canned dog food.After the universe has been defined, the next question is whether the sample must be representative of the population. If the answer is yes, a probability sample is needed. Otherwise, a nonprobability sample might be considered.A probability sample is a sample in which every element in the population has a known statistical likelihood of being selected. Its most desirable feature is that scientific rules can be used to ensure that the sample represents the population.Any sample in which little or no attempt is made to get a representative cross section of the population can be considered a nonprobability sample. Therefore, the probability of selection of each sampling unit is not known.Nonprobability samples are acceptable as long as the researcher understands their nonrepresentative nature. Because of their lower cost, nonprobability samples are sometimes used in marketing research.?Once the researchers decide how they will collect primary data, their next step is to select the sampling procedures they will use. A firm can seldom take a census of all possible users of a new product, nor can they all be interviewed. Therefore, a firm must select a sample of the group to be interviewed.

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