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Sampling Techniques - UCA

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?)

Simple Random Sampling Researchers use two major sampling techniques: probability sampling and nonprobability sampling. With probability sampling,a researcher can specify the probability of an element’s (participant’s) being included in the sample. With nonprobability sampling, there is no way of estimating the probability of

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