When it comes to market research surveys, it’s virtually impossible to reach your entire population. Don’t panic and think you need to survey everyone—you don’t. There are several sampling survey methods you’ll need to consider, keeping in mind practical factors such as accessibility and affordability. A carefully selected sample will reflect the same data as the entire population.
There are two types of sampling: random and non-random.
Random, or probability, sampling method. This type of sampling method gives all members of a known population an equal chance of being selected for the market research study. Several statistical techniques that you’ll use to evaluate the data and confirm or reject hypotheses assume survey samples were selected at random.
There are four main types of random sampling methods:
1. Simple random sampling
2. Systematic sampling
3. Stratified sampling
4. Clustered sampling
Non-random, or non-probability, sampling method. This sampling method, by default, results in some kind of sampling biased and is less desirable than random sampling. Always try to adopt a random sampling method first. Only if you deem that random sampling is not possible should you select a non-random sampling method. The most common form of non-probability sampling is quota sampling.
If you’re conducting a client survey or a customer satisfaction survey, these survey sampling methods can apply to you as well. It’s not necessary to always survey your entire client base. In fact, it's often best to spread out your survey projects so that you’re not always asking the same customers to complete your surveys.
There are two types of sampling: random and non-random.
Random, or probability, sampling method. This type of sampling method gives all members of a known population an equal chance of being selected for the market research study. Several statistical techniques that you’ll use to evaluate the data and confirm or reject hypotheses assume survey samples were selected at random.
There are four main types of random sampling methods:
1. Simple random sampling
2. Systematic sampling
3. Stratified sampling
4. Clustered sampling
Non-random, or non-probability, sampling method. This sampling method, by default, results in some kind of sampling biased and is less desirable than random sampling. Always try to adopt a random sampling method first. Only if you deem that random sampling is not possible should you select a non-random sampling method. The most common form of non-probability sampling is quota sampling.
If you’re conducting a client survey or a customer satisfaction survey, these survey sampling methods can apply to you as well. It’s not necessary to always survey your entire client base. In fact, it's often best to spread out your survey projects so that you’re not always asking the same customers to complete your surveys.
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