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Sampling (statistics)

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Register to view this lesson Are you a student or a teacher? I am a student I am a teacher. What teachers are saying about Study. Are you still watching? Your next lesson will play in 10 seconds. Add to Add to Add to. Want to watch this again later? Sampling Techniques In Scientific Investigations.

Selecting a Problem to Research. What is a Hypothesis? What is a Research Proposal? Multistage, Multiphase, and Cluster Samples. What is Hypothesis Testing? What Is Social Science Research? The Importance of Understanding Research Methodology. The Importance of Measurement in the Research Process. Research Methods in Psychology: Research Methods in Psychology for Teachers: Information Systems and Computer Applications. The sample of a study can have a profound impact on the outcome of a study.

Sampling Brooke is a psychologist who is interested in studying how much stress college students face during finals. Process So Brooke wants to choose a group of college students to take part in her study. Importance As you can see, choosing a sample is a complicated process. Try it risk-free No obligation, cancel anytime.

Want to learn more? Select a subject to preview related courses: Lesson Summary The sample of a study is the group of subjects in the study. The five steps to sampling are: Identify the population Specify a sampling frame Specify a sampling method Determine the sample size Implement the plan It is important for researchers to follow these steps so that their sample adequately represents their population.

Learning Outcomes Following this lesson, you should have the ability to: Explain what sampling is and its importance to research Describe the five steps to sampling. Unlock Your Education See for yourself why 30 million people use Study. Become a Member Already a member? Earning College Credit Did you know… We have over college courses that prepare you to earn credit by exam that is accepted by over 1, colleges and universities. To learn more, visit our Earning Credit Page Transferring credit to the school of your choice Not sure what college you want to attend yet?

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Email us if you want to cancel for any reason. 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.

For more information, click here: Collecting Qualitative Data from highness Qualitative Sampling Methods by ProProfs. Resource Links 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.

Page Options Share Email Link. For example, low-income children may be less likely to be enrolled in preschool and therefore, may be excluded from the study. Extra care has to be taken to control biases when determining sampling techniques. There are two main types of 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.

Following is a discussion of probability and non-probability sampling and the different types of each. Probability Sampling — Uses randomization and takes steps to ensure all members of a population have a chance of being selected. There are several variations on this type of sampling and following is a list of ways probability sampling may occur:.

Non-probability Sampling — Does not rely on the use of randomization techniques to select members. This is typically done in studies where randomization is not possible in order to obtain a representative sample. Bias is more of a concern with this type of sampling. The different types of non-probability sampling are as follows:. The following Slideshare presentation, Sampling in Quantitative and Qualitative Research — A practical how to, offers an overview of sampling methods for quantitative research and contrasts them with qualitative method for further understanding.

Examples of Data Collection Methods — Following is a link to a chart of data collection methods that examines types of data collection, advantages and challenges. Qualitative and Quantitative Data Collection Methods - The link below provides specific example of instruments and methods used to collect quantitative data.


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The sample of a study is the group of subjects in the study. Sampling is the process whereby a researcher chooses his or her sample. The five steps to sampling are: Identify the population. Specify a sampling frame. Specify a sampling method. Determine the sample size. Implement the plan.

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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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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. 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.

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Sampling Methods can be classified into one of two categories: Probability Sampling: Sample has a known probability of being selected. Non-probability Sampling: Sample does not have known probability of being selected as in convenience or voluntary response surveys. In statistics, quality assurance, and survey methodology, sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Two advantages of sampling are that the cost is lower and data collection is faster than measuring the entire population.