170k views
1 vote
Simulated test markets are:

A. contrived environments that mimic real-life situations.
B. large samples of respondents that voluntarily complete questionnaires on a regular basis.
C. hybrids of primary and secondary research conducted by a research company, spreading the cost across many clients to reduce the price.
D. obtained by watching how people behave, either in person or by using a machine to record events.

1 Answer

5 votes

Final answer:

Simulated test markets are contrived environments that mimic real-life situations, instrumental in business and marketing research. Unlike surveys, which capture feelings and thoughts, simulated test markets allow for realistic testing of products or strategies. Convenience sampling, often used in surveys, may lead to biased results if the sample is not representative.

Step-by-step explanation:

Simulated test markets are A. contrived environments that mimic real-life situations. These are used primarily in the context of business and marketing research. Simulated test markets allow businesses to test new products or marketing strategies in a realistic but controlled setting, helping them to predict how new products might perform in the wider market. This method can save time and resources compared to launching a product without any prior testing.

Surveys, on the other hand, are tools that can be used in various fields, including sociology, to gather information. They can be structured to discover attitudes, beliefs, or habits of the general public or specific segments of the population. While they may not be great at capturing the ways people really behave, they are effective in discerning how people feel and think. Surveys can take various forms, like online, phone, mail, or face-to-face interactions, and are particularly useful in collecting a wide range of data, from preferences for presidential candidates to individual behaviors like eating habits.

Convenience samples, such as those from Introduction to Psychology courses, are often used when true random sampling is difficult to obtain. However, this technique has implications, including potential bias, as the sample may not adequately represent the entire population being studied.

User Zingam
by
9.6k points