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- Describe methods of sampling in research.
- Understand how samples, population and generalizability relate to one another.
- Examine different types of probability and non-probability sampling methods.
- Learn about issues associated with probability and non-probability sampling.
- Explain how an appropriate sample size is determined.
1. What is Sampling in Research? - Definition, Methods & Importance
The sample of a study can have a profound impact on the outcome of a study. In this lesson, we'll look at the procedure for drawing a sample and why it is so important to draw a sample that represents the population.
2. The Relationship Between Population, Sample & Generalizability
Researchers try their best to gather a sample that represents their population. But why is this important? In this lesson, we'll look at the relationship between population, sample, and generalizability in research.
3. Probability Sampling Methods: Definition & Types
Choosing a sample is one of the most important steps in research. But how should you choose? In this lesson, we'll look at three types of probability sampling: simple random, systematic, and stratified sampling.
4. Probability Sampling Methods: Multistage, Multiphase, and Cluster Samples
How do researchers choose the subjects for their experiments? In this lesson, we'll look at what probability sampling is and three different probability sampling methods: cluster, multistage, and multiphase sampling.
5. Non-Probability Sampling Methods: Definition & Types
There are many different ways to choose a sample for a research study. In this lesson, we'll look at three types of non-probability sampling: convenience, quota, and judgmental (or purposive sampling) and when to use each type.
6. Issues in Probability & Non-Probability Sampling
Choosing a sample is an important part of research. The two methods of sampling both come with their own set of issues. In this lesson, we'll look at the issues with probability and non-probability sampling.
7. How to Determine Sample Size
How many subjects should a researcher use in his or her experiment? In this lesson, we'll examine the elements that go into sample size, including how to figure out how big a sample should be and what real-world issues influence sample size.
8. Probability Sample: Definition, Problems & Examples
When using inferential statistics to generalize findings from a sample to a population, a probability sample must be used. In this lesson, you will learn about the definition of a probability sample as well as the various types.
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Other chapters within the Research Methods in Psychology: Tutoring Solution course
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- Descriptive Statistics in Psychology: Tutoring Solution
- Inferential Statistics in Psychology: Tutoring Solution
- Evaluating Research Findings: Tutoring Solution