Transcription of CHAPTER 5
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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.
Easier to understand and communicate to others. May have larger sampling errors and less precision, than other probability sampling designs with the same sample size. Tends to yield representative samples. If subgroups of the population are of particular interests, they may not be included in sufficient numbers in the sample.
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