Non-probability Sampling

Non-probability Sampling

Open Ended

What are the things you know about non-probability sampling?

In a non-probability sample, individuals are selected based on non-random criteria, and not every individual has a chance of being included.

This type of sample is easier and cheaper to access, but it has a higher risk of sampling bias. That means the inferences you can make about the population are weaker than with probability samples, and your conclusions may be more limited. If you use a non-probability sample, you should still aim to make it as representative of the population as possible.

Non-probability sampling techniques are often used in exploratory and qualitative research. In these types of research, the aim is not to test a hypothesis about a broad population, but to develop an initial understanding of a small or under-researched population.

Multiple Choice

Non-probability sampling is mostly used in qualitative research.

• TRUE

• FALSE

Convenience sampling

A convenience sample simply includes the individuals who happen to be most accessible to the researcher.

This is an easy and inexpensive way to gather initial data, but there is no way to tell if the sample is representative of the population, so it can’t produce generalizable results.

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Convenience sampling

You are researching opinions about student support services in your university, so after each of your classes, you ask your fellow students to complete a survey on the topic. This is a convenient way to gather data, but as you only surveyed students taking the same classes as you at the same level, the sample is not representative of all the students at your university.

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Purposive sampling

This type of sampling, also known as judgement sampling, involves the researcher using their expertise to select a sample that is most useful to the purposes of the research.

It is often used in qualitative research, where the researcher wants to gain detailed knowledge about a specific phenomenon rather than make statistical inferences, or where the population is very small and specific. An effective purposive sample must have clear criteria and rationale for inclusion.

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Purposive sampling

You want to know more about the opinions and experiences of disabled students at your university, so you purposefully select a number of students with different support needs in order to gather a varied range of data on their experiences with student services.

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Snowball sampling

If the population is hard to access, snowball sampling can be used to recruit participants via other participants. The number of people you have access to “snowballs” as you get in contact with more people.

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Snowball sampling

You are researching experiences of homelessness in your city. Since there is no list of all homeless people in the city, probability sampling isn’t possible. You meet one person who agrees to participate in the research, and she puts you in contact with other homeless people that she knows in the area.

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Quota sampling

Quota sampling is defined as a non-probability sampling method in which researchers create a sample involving individuals that represent a population. Researchers choose these individuals according to specific traits or qualities.

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Multiple Choice

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.

She selects the five closest to her des

• Convenience Sampling

• Quota Sampling

• Purposive Sampling

• Snowball Sampling

Multiple Choice

A teacher wants to know the average time spent doing homework by the students in her classes. All in all, there are 50 students. The teacher decided to interview 10 students as the default number.

• Convenience Sampling

• Quota Sampling

• Purposive Sampling

• Snowball Sampling

Multiple Choice

What sampling technique will be used if a researcher wants to know the experience of the board exam takers in the time of pandemic?

• Convenience Sampling

• Quota Sampling

• Purposive Sampling

• Snowball Sampling

Multiple Choice

What sampling technique will be used if the researcher can't find enough participants and asked referrals from the initial participants?

• Convenience Sampling

• Quota Sampling

• Purposive Sampling

• Snowball Sampling