CHAPTER 5

125 CHAPTER 5 Choosing the type of probability samplingINTRODUCTIONOnce a choice is made to use a probability sample design, one must choose the type of probability sampling to use. This CHAPTER includes descriptions of the major types of probability sampling . It covers steps involved in their adminis-tration, their subtypes, their weaknesses and strengths, and guidelines for choosing among are four major types of probability sample designs: simple random sampling , stratified sampling , systematic sampling , and cluster sampling (see Figure ). Simple random sampling is the most recognized probability sam-pling procedure. stratified sampling offers significant improvement to simple random sampling . Systematic sampling is probably the easiest one to use, and cluster sampling is most practical for large national surveys. These sampling procedures are described you will learn in this CHAPTER : The types of probability sampling and how they differ from each other Steps in carrying out the major probability sample designs The strengths and weaknesses of the various types of probability sampling Differences between stratified sampling and quota sampling Differences between stratified sampling and cluster sampling Differences between multistage cluster sampling and multiphase sampling126 sampling EssentialsSIMPLE RANDOM SAMPLINGWhat Is Simple Random sampling ?

Chapter 5 Choosing the Type of Probability Sampling 131 STRATIFIED SAMPLING What Is Stratified Sampling? Stratified sampling is a probability sampling procedure in which the target population is first separated into mutually exclusive, homogeneous segments (strata), and then a simple random sample is selected from each segment (stra-tum).

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