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Ch 8: Sampling and Generalization: Tutoring Solution

About This Chapter

The Sampling and Generalization chapter of this Research Methods in Psychology Tutoring Solution is a flexible and affordable path to learning about sampling and generalization. These simple and fun video lessons are each about five minutes long and they teach all of the information involving sampling and generalization required in a typical psychology research methods course.

How it works:

  • Begin your assignment or other research methods in psychology work.
  • Identify the sampling and generalization concepts that you're stuck on.
  • Find fun videos on the topics you need to understand.
  • Press play, watch and learn!
  • Complete the quizzes to test your understanding.
  • As needed, submit a question to one of our instructors for personalized support.

Who's it for?

This chapter of our research methods in psychology tutoring solution will benefit any student who is trying to learn sampling and generalization and earn better grades. This resource can help students including those who:

  • Struggle with understanding probability sampling, non-probability sampling, how to determine sample size, or any other sampling and generalization topic
  • Have limited time for studying
  • Want a cost effective way to supplement their psychology learning
  • Prefer learning psychology visually
  • Find themselves failing or close to failing their sampling and generalization unit
  • Cope with ADD or ADHD
  • Want to get ahead in psychology research methods
  • Don't have access to their psychology teacher outside of class

Why it works:

  • Engaging Tutors: We make learning sampling and generalization simple and fun.
  • Cost Efficient: For less than 20% of the cost of a private tutor, you'll have unlimited access 24/7.
  • Consistent High Quality: Unlike a live research methods in psychology tutor, these video lessons are thoroughly reviewed.
  • Convenient: Imagine a tutor as portable as your laptop, tablet or smartphone. Learn sampling and generalization on the go!
  • Learn at Your Pace: You can pause and rewatch lessons as often as you'd like, until you master the material.

Learning Objectives

  • 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.

8 Lessons in Chapter 8: Sampling and Generalization: Tutoring Solution
Test your knowledge with a 30-question chapter practice test
What is Sampling in Research? - Definition, Methods & Importance

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.

The Relationship Between Population, Sample & Generalizability

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.

Probability Sampling Methods: Definition & Types

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.

Probability Sampling Methods: Multistage, Multiphase, and Cluster Samples

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.

Non-Probability Sampling Methods: Definition & Types

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.

Issues in Probability & Non-Probability Sampling

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.

How to Determine Sample Size

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.

Probability Sample: Definition, Problems & Examples

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.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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