Learning Objectives

Chapter Summary

This chapter introduces the notion that any research project involves an initial sampling decision. The probability methods – random sampling, stratified random sampling, systematic and multistage cluster sampling are introduced, as are the nonprobability methods – convenience, judgment, quota, network/snowball and volunteer sampling.  A campus-based organizing example illustrating most of these methods runs through the chapter.

 

Chapter Objectives

This chapter will help you:

  • Compare and contrast probability and nonprobability sampling.
  • Identify and explain major nonprobability sampling methods.
  • Identify and explain major probability sampling methods.
  • List the factors influencing the size of a sample.
  • Describe the concept of a sampling frame.
  • Discuss the advantages and disadvantages of the different types of sampling frame.