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3.5 Simple Random Sampling and Other Sampling Methods

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❶Cluster sampling is commonly implemented as multistage sampling. Impossible to estimate how well the researcher representing the population.

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Qualitative Research Methods - A Data Collectors Field Guide - This comprehensive, detailed guide describes various types of sampling techniques and provides examples of each, as well as pros and cons. Qualitative Research Overview - The following link provides a full overview of qualitative research, but also contains sections discussing types of sampling methods and methods of participant recruitment.

Sampling - This resource provides a brief overview of sampling and sample size with links to descriptions of purposeful sampling strategies.

A Guide to Using Qualitative Research Methodology - The file linked below contains a full description of how to conduct qualitative sampling, including a chart that lists the types of sampling techniques and includes examples. Sampling Designs in Qualitative Research - The following article discusses sampling designs and ways to make the sampling process more public. This pin will expire , on Change.

This pin never expires. Select an expiration date. About Us Contact Us. Search Community Search Community. Qualitative Sampling Methods The following module describes common methods for collecting qualitative data. Describe common types of qualitative sampling methodology. Explain the methods typically used in qualitative data collection. Describe how sample size is determined. Purposeful Sampling is the most common sampling strategy.

In this type of sampling, participants are selected or sought after based on pre-selected criteria based on the research question. For example, the study may be attempting to collect data from lymphoma patients in a particular city or county. The sample size may be predetermined or based on theoretical saturation, which is the point at which the newly collected no longer provides additional insights.

Click on the following link for a desciption of types of purposeful sampling: Types of Purposeful Sampling. Quota Sampling is a sampling technique whereby participant quotas are preset prior to sampling. Typically, the researcher is attempting to gather data from a certain number of participants that meet certain characteristics that may include things such as age, sex, class, marital status, HIV status, etc.

Click here for more information on this type of sampling: Snowball Sampling is also known as chain referral sampling. In this method, the participants refer the researcher to others who may be able to potentially contribute or participate in the study. This method often helps researchers find and recruit participants that may otherwise be hard to reach.

There are many types of non-probability sampling techniques and designs, but here we will list some of the most popular. As the name suggests, this method involves collecting units that are the easiest to access: It forms an accidental sample.

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.

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On this page you will learn: The various types of sampling methods: Probability and non-probability sampling. What is a population? What is a sample? There are two basic types of sampling methods: Probability sampling Non-probability sampling. What is probability sampling? Comparatively easier method of sampling Lesser degree of judgment High level of reliability of research findings High accuracy of sampling error estimation Can be done even by non-technical individuals The absence of both systematic and sampling bias.

Monotonous work Chances of selecting specific class of samples only Higher complexity Can be more expensive and time-consuming. What is non-probability sampling? When a respondent refuses to participate, he may be replaced by another individual who wants to give information. Less expensive Very cost and time effective. Easy to use types of sampling methods. The researcher interviews individuals who are easily accessible and available.

It means the possibility of gathering valuable data is reduced.


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There are two main types of sampling: probability and non-probability sampling. The difference between the two types is whether or not the sampling selection involves randomization. Randomization occurs when all members of the sampling frame have an equal opportunity of being selected for the study.

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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 .

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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. In probability sampling it is possible to both determine which sampling units belong to which sample and the probability that each sample will be selected. The following sampling methods are examples of probability sampling: Of the five methods listed above, students have the most trouble.

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Chapter 1 Population and sample. Sampling techniques Let us extend in this chapter what we have already presented in the beginning of Descriptive. Types of Sampling Methods and Techniques in Research The main goal of any marketing or statistical research is to provide quality results that are a reliable basis for decision-making. That is why the different types of sampling methods and techniques have a crucial role in research methodology and statistics.