The key aim being that the research study has the most accurate data possible. Should a sample not be a representative one, it creates a problem known as margin of error. You must select a similar number of people from men and women. If your sample is biased, the results you receive will be biased as well. Another thing to keep in mind is sample size — it needs to be as large as realistically possible within your budget.
Tools like Voxco panel manager can help select the right sample for your surveys, and nurture respondents. It is necessary to include people from every type of demographic in your sample for honest and accurate feedback. See Voxco survey software in action with a Free demo.
Your target demographic can be anywhere, and not all of them will have constant access to the internet. This ensures that your research has accurate data, and that geographical barriers do not come in the way of your surveys. Uncovering insights from your sample requires capable analytics tools. To entice more people to partake in your surveys you can consider incentivizing them. Incentivizing surveys also ensures that your drop off rates are low, which also helps in ensuring that your survey data is accurate.
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We use cookies in our website to give you the best browsing experience and to tailor advertising. By continuing to use our website, you give us consent to the use of cookies. Representative Sample: Definition, method and examples. Market Research Toolkit. Share on facebook. Share on twitter. A representative sample could be people or even chemical substances in scientific studies that can be tested in a laboratory to analyze the result of any particular chemical reaction.
However, in this blog, we will concentrate on people and understand the importance of a representative population sample in market research and other helpful aspects is.
A representative sample allows researchers to abstract the collected information to a larger population. Most market research and psychological studies are unsuitable in terms of time, money, and resources to collect data on everyone. It is practically impossible to collect data from each person, especially for a large population such as an entire country. What is more important here is to get a good representative sample, so that the vast majority of your time and energy will go into getting responses from a small group of people who will represent a larger population.
Time and again, research studies have employed a smaller group of people to conduct studies, collect data, and analyze the results. Let us understand the importance of a representative sample for significant research studies. Researchers use two methods to build representative samples — Probability sampling and non-probability sampling. Probability sampling: Probability sampling is a technique in which a researcher chooses a sample from a larger population using a method based on the probability theory.
If we will use probability sampling to obtain a representative sample, then simple random sampling is the best choice. The sample choice is made at random, which guarantees that each member of the population will have the same probability of selection and inclusion in the sample group.
In non-probability sampling, not all population members have a chance of participating in the study, unlike probability sampling, where each member of the population has a known chance of being selected. By knowing these criteria, before obtaining the information, we can have the control to create a representative sample that is efficient.
We must avoid having a sample that does not reflect the target population. When a sample is not representative, we will have a sampling error known as the margin of error. If we want to have a representative sample of employees, we must choose a similar number of men and women. For example, if we have a sample inclined to a specific genre, then we will have an error in the sample.
The sample size is essential, but it does not guarantee that it accurately represents the population that we need. More than size, representativeness is related to the sampling frame, that is, to the list from which people are selected, for example, part of a survey. Therefore, we must take care that people from our target audience are included in that list to say that it is a representative sample.
A group of citizens representing the whole country is designated as a nationally representative sample. Researchers use it to reflect and project the national reality.
It can be preferences of any kind, behavior, or socio-demographic profiles. At its best, the representative sample will give the impression of being the total population, regardless of its looks.
The numbers of men vs. Edited by: Paul J. Buy in print. Determining Representativeness. Looks like you do not have access to this content. Entries Per Page:. Methods Map Research Methods.
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