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.
probability sampling procedures when compared to nonprobability sam-pling procedures. Notably, among its strengths, it tends to yield representa-tive samples, and allows the use of inferential statistics in analyzing the data collected. Compared to other probability sampling procedures, simple ran-
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