About This Chapter
Who's it for?
Anyone who needs help learning or mastering research methods in psychology material will benefit from taking this course. There is no faster or easier way to learn about psychology research methods. Among those who would benefit are:
- Students who have fallen behind in understanding probability and non-probability statistical sampling methods
- Students who struggle with learning disabilities or learning differences, including autism and ADHD
- Students who prefer multiple ways of learning psychology (visual or auditory)
- Students who have missed class time and need to catch up
- Students who need an efficient way to learn about sampling and generalization
- Students who struggle to understand their teachers
- Students who attend schools without extra psychology learning resources
How it works:
- Find videos in our course that cover what you need to learn or review.
- Press play and watch the video lesson.
- Refer to the video transcripts to reinforce your learning.
- Test your understanding of each lesson with short quizzes.
- Verify you're ready by completing the Sampling and Generalization chapter exam.
Why it works:
- Study Efficiently: Skip what you know, review what you don't.
- Retain What You Learn: Engaging animations and real-life examples make topics easy to grasp.
- Be Ready on Test Day: Use the Sampling and Generalization chapter exam to be prepared.
- Get Extra Support: Ask our subject-matter experts any sampling and generalization question. They're here to help!
- Study With Flexibility: Watch videos on any web-ready device.
Students will review:
This chapter helps students review the concepts in a sampling and generalization unit of a standard research methods in psychology course. Topics covered include:
- The relationship between population, sample and generalizability
- Multistage, multiphase and cluster probability sampling methods
- Non-probability sampling methods
- Issues in probability and non-probability sampling
- Methods for determining 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.
8. Stratified Random Sample: Example & Definition
A stratified random sample is a random sample in which members of the population are first divided into strata, then are randomly selected to be a part of the sample. Learn more about stratified random samples and test your knowledge with a quiz.
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Other chapters within the Research Methods in Psychology: Help and Review course
- Introduction to Research Methods: Help and Review
- Principles of Ethical Research: Help and Review
- Setting Up the Research Study: Help and Review
- Data Collection Techniques in Psychology: Help and Review
- Nonexperimental Research: Help and Review
- Qualitative Research Methods and Design: Help and Review
- Quasi-Experimental Research: Help and Review
- Measurement in Research: Help and Review
- Internal Validity in Research: Help and Review
- External Validity: Help and Review
- Experimental Design: Help and Review
- Descriptive Statistics in Psychology: Help and Review
- Inferential Statistics in Psychology: Help and Review
- Evaluating Research Findings: Help and Review
- Ethics in Counselor-Supervisor Relationships