When you conduct retìm kiếm about a group of people, it’s rarely possible lớn collect data from every person in that group. Instead, you select a sample. The sample is the group of individuals who will actually participate in the retìm kiếm.Bạn đã xem: Sampling method là gì

To draw valid conclusions from your results, you have sầu khổng lồ carefully decide how you will select a sample that is representative of the group as a whole. There are two types of sampling methods:

You should clearly explain how you selected your sample in the methodology section of your paper or thesis.

Bạn đang xem: Nghĩa của từ sampling method trong tiếng việt

Table of contents

Population vs sample

First, you need khổng lồ underst& the difference between a population và a sample, & identify the target population of your retìm kiếm.

The population is the entire group that you want to draw conclusions about.The sample is the specific group of individuals that you will collect data from.

The population can be defined in terms of geographical location, age, income, & many other characteristics.






1. Convenience sampling

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

This is an easy và 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.


You are researching opinions about student tư vấn 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 lớn gather data, but as you only surveyed students taking the same classes as you at the same cấp độ, the sample is not representative sầu of all the students at your university.

2. Voluntary response sampling

Similar to a convenience sample, a voluntary response sample is mainly based on ease of access. Instead of the researcher choosing participants & directly contacting them, people volunteer themselves (e.g. by responding khổng lồ a public online survey).

Voluntary response samples are always at least somewhat biased, as some people will inherently be more likely to volunteer than others.


You sover out the survey to lớn all students at your university & a lot of students decide khổng lồ complete it. This can certainly give you some insight into lớn the topic, but the people who responded are more likely to be those who have sầu strong opinions about the student tư vấn services, so you can’t be sure that their opinions are representative of all students.

3. Purposive sampling

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


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

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4. Snowball sampling

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


You are researching experiences of homelessness in your thành phố. Since there is no menu of all homeless people in the thành phố, probability sampling isn’t possible. You meet one person who agrees khổng lồ participate in the research, and she puts you in tương tác with other homeless people that she knows in the area.

Frequently asked questions about sampling

What is sampling?

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you lớn thử nghiệm a hypothesis about the characteristics of a population.

Why are samples used in research?

Samples are used khổng lồ make inferences about populations. Samples are easier to collect data from because they are practical, cost-effective sầu, convenient & manageable.

What is probability sampling?

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling, systematic sampling, stratified sampling, and cluster sampling.

What is non-probability sampling?

In non-probability sampling, the sample is selected based on non-random criteria, and not every thành viên of the population has a chance of being included.

Comtháng non-probability sampling methods include convenience sampling, voluntary response sampling, purposive sampling, snowball sampling, and quota sampling.

What is sampling bias?

Sampling bias occurs when some members of a population are systematically more likely lớn be selected in a sample than others.

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