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Step 1. Defining the Population Step 2. Constructing a ...
7 - 1 Chapter 7. sampling TechniquesIntroduction to SamplingDistinguishingBetween a Sample and a PopulationSimple random SamplingStep 1. Defining the PopulationStep 2. Constructing a ListStep 3. Drawing the SampleStep 4. Contacting Members of the SampleStratified random SamplingConvenience SamplingQuota SamplingThinking Critically About Everyday InformationSample SizeSampling ErrorEvaluating Information From SamplesCase AnalysisGeneral SummaryDetailed SummaryKey Terms Review Questions/Exercises7 - 2 Introduction to sampling The way in which we select a sample of individuals to be research participants is critical. How we select participants ( random sampling ) will determine the Population to which we may generalize our research findings. The procedure that we use for assigning participants to different treatment conditions ( random assignment) will determine whether bias exists in our treatment groups (Are the groups equal on all knownand unknown factors?)
7 - 4 When random sampling is used, each element in the population has an equal chance of being selected (simple random sampling) or a known probability of being selected (stratified random sampling).
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Audit Sampling 101, Chapter, Sampling, Chapter 8: Quantitative Sampling, Chapter 4 Stratified Sampling, Chapter 4 | Stratified Sampling, Chapter 9 Distributions: Population, Sample and Sampling, In Blend and Content Uniformity, S Guide The SURVEYMEANS Procedure, SAMPLING METHODOLOGY FOR ECONOMIC STATISTICS