What is probability sampling How does it differ from nonprobability sampling

What is probability sampling how does it differ from

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2.What is probability sampling? How does it differ from nonprobability sampling? What is the goal of probability sampling? What is the purpose of nonprobability sampling? Which type of sampling is used when we want to make statistical inferences?a.Probability sampling is based on random selection, each case has a chance of being selected and those chances are independent of the chances of selecting another and cannot involve physical mixing or human judgmentb.It differs because cases are randomly selected on purpose and in nonprobability they are selected for a purposec.The goal of probability sampling is to make inferences from a sample to a populationd.Nonprobability sampling is used for practical reasons when cases are selected to advance theoretical understanding e.For statistical inference probability sampling is used.3.Know the difference between a population, a target population, a sampling frame, and a sample. a.Population: the total membership of a defined class of people, objects or eventsb.Target population: population to which you wish to generalize sample results c.Sampling frame: a list or rule that provides the basis for sampling 4.Know the reasons for using stratified random sampling.
5.Know the reason(s) for using multistage cluster sampling and be able to identify if a particular sample used this approach.a.Used to reduce costs of compiling lists and reaching widely scattered respondents b.Uses probability proportionate to size samplingc.Multiple stages, examples city blockslists of householdslist of people in househouldindividual6.What are the two most factors for determining an appropriate sample size?7.Know the difference between the different types of nonprobability sampling techniques thatwe talked about in class. Also, know when it is most appropriate to use each.

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• Spring '19
• researcher, internal validity, stratified random sampling

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