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3.5 Simple Random Sampling and Other Sampling Methods

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❶Good sampling is time-consuming and expensive. Stratified sampling would be preferred over cluster sampling, particularly if the questions of interest are affected by time zone.

Systematic sampling every nth person When a stream of representative people are available eg. Cluster sampling all in limited groups When population groups are separated and access to all is difficult, eg.

Method Best when Quota sampling get only as many as you need You have access to a wide population, including sub-groups Proportionate quota sampling in proportion to population sub-groups You know the population distribution across groups, and when normal sampling may not give enough in minority groups Non-proportionate quota sampling minimum number from each sub-group There is likely to a wide variation in the studied characteristic within minority groups.

Method Best when Purposive sampling based on intent You are studying particular groups Expert sampling seeking 'experts' You want expert opinion Snowball sampling ask for recommendations You seek similar subjects eg.

Method Best when Snowball sampling ask for recommendations You are ethically and socially able to ask and seek similar subjects. Convenience sampling use who's available You cannot proactively seek out subjects. Judgment sampling guess a good-enough sample You are expert and there is no other choice. Method Best when Selective sampling gut feel Focus is needed in particular group, location, subject, etc.

Theoretical sampling testing a theory Theories are emerging and focused sampling may help clarify these. Home Top Menu Quick Links. Probability methods This is the best overall group of methods to use as you can subsequently use the most powerful statistical analyses on the results. When population groups are separated and access to all is difficult, eg. This pin will expire , on Change. This pin never expires. Select an expiration date. About Us Contact Us. Search Community Search Community.

Sampling Methods Sampling and types of sampling methods commonly used in quantitative research are discussed in the following module. Define sampling and randomization. Explain probability and non-probability sampling and describes the different types of each. There are several variations on this type of sampling and following is a list of ways probability sampling may occur: Random sampling — every member has an equal chance Stratified sampling — population divided into subgroups strata and members are randomly selected from each group Systematic sampling — uses a specific system to select members such as every 10 th person on an alphabetized list Cluster random sampling — divides the population into clusters, clusters are randomly selected and all members of the cluster selected are sampled Multi-stage random sampling — a combination of one or more of the above methods Non-probability Sampling — Does not rely on the use of randomization techniques to select members.

The different types of non-probability sampling are as follows: Page Options Share Email Link. Share Facebook Twitter LinkedIn. Pinning this post will make it stay at the top of its channel and widgets.

This pin will expire , on Change This pin never expires. It is generally known as an unsystematic and careless sampling method. For example, people intercepted on the street, Facebook fans of a brand and etc. This technique is known as one of the easiest, cheapest and least time-consuming types of sampling methods. Quota sampling methodology aims to create a sample where the groups e. The population is divided into groups also called strata and the samples are gathered from each group to meet a quota.

Judgmental sampling is a sampling methodology where the researcher selects the units of the sample based on their knowledge. This type of sampling methods is also famous as purposive sampling or authoritative sampling.

In this method, units are selected for the sample on the basis of a professional judgment that the units have the required characteristics to be representatives of the population. Judgmental sampling design is used mainly when a restricted number of people possess the characteristics of interest. It is a common method of gathering information from a very specific group of individuals.

It is a methodology where researcher recruits other individuals for the study. This method is used only when the population is very hard-to-reach. For example, these include populations such as working prostitutes, current heroin users, people with drug addicts, and etc. The key downside of a snowball sample is that it is not very representative of the population.

Sampling can be a confusing activity for marketing managers carrying out research projects. By knowing and understanding some basic information about the different types of sampling methods and designs, you can be aware of their advantages and disadvantages.

The two main sampling methods probability sampling and non-probability sampling has their specific place in the research industry. In the real research world, the official marketing and statistical agencies prefer probability-based samples.

While it would always be good to perform a probability-based sampling, sometimes other factors have to be considered such as cost, time, and availability. Download the following Infographic in PDF. Silvia Vylcheva has more than 10 years of experience in the digital marketing world — which gave her a wide business acumen and the ability to identify and understand different customer needs.

Silvia has a passion and knowledge in different business and marketing areas such as inbound methodology, data intelligence, competition research and more. Notify me of follow-up comments by email.

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Sampling Methods. Sampling and types of sampling methods commonly used in quantitative research are discussed in the following module. Learning Objectives: Define sampling and randomization. Explain probability and non-probability sampling and describes the different types of each.

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A stratified sample is a mini-reproduction of the population. Before sampling, the population is divided into characteristics of importance for the research. For example, by gender, social class, education level, religion, etc.

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It means the stratified sampling method is very appropriate when the population is heterogeneous. Stratified sampling is a valuable type of sampling methods because it captures key population characteristics in the sample. In addition, stratified sampling design leads to increased statistical efficiency. Multistage Sampling (in which some of the methods above are combined in stages) Of the five methods listed above, students have the most trouble distinguishing between stratified sampling and cluster sampling.

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Social research is a scientific method to understand human behavior which is done by sending out surveys to a targeted sample. There are two basic types of sampling for social research, Probability, and Non-probability sampling. These sampling types are divided on the basis of the selection of members and are implemented in different . There are many methods of sampling when doing research. This guide can help you choose which method to use. Simple random sampling is the ideal, but researchers seldom have the luxury of time or money to access the whole population, so many compromises often have to be made.