About This Chapter
Sampling and Generalization - Chapter Summary and Learning Objectives
The video lessons in this chapter will help you understand the importance of obtaining a good sample for research. You'll learn why sound methods of sampling are vital to the success of a research project and study the methods of obtaining a sample. Probability and non-probability sampling methods are explored in this chapter, including a discussion of sampling issues that may arise. Another lesson looks at how population, sample and generalizability are related. By the end of this chapter, you should have a solid grasp of concepts including:
- Definition of sampling methods for research
- Types of probability and non-probability sampling methods
- Relationship between population, generalizability and sample
- How to determine an appropriate size for a sample
|What is Sampling in Research? - Definition, Methods and Importance||Define and discuss sampling. Explain why good sampling could be considered the most important step in any research project.|
|The Relationship Between Population, Sample and Generalizability||Examine the relationship between population, sample and generalizability.|
|Probability Sampling Methods: Definition and Types||Study probability sampling methods, including simple random sampling, computer-generated random sampling and systematic sampling.|
|Non-Probability Sampling Methods: Definition and Types||Take a look at the various non-probability sampling methods, including convenience sampling and quota sampling.|
|Issues in Probability and Non-Probability Sampling||Explore sampling issues in both probability and non-probability sampling.|
|How to Determine Sample Size||Discuss how to determine an appropriate sample size.|
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.
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Other chapters within the Psychology 105: Research Methods in Psychology course
- Introduction to Research Methods
- Principles of Ethical Research
- Setting Up the Research Study
- Data Collection Techniques in Psychology
- Nonexperimental Research
- Qualitative Research Methods and Design
- Quasi-Experimental Research
- Measurement in Research
- Internal Validity in Research
- External Validity
- Experimental Design
- Descriptive Statistics in Psychology
- Inferential Statistics in Psychology
- Evaluating Research Findings
- Studying for Psychology 105