非隨機(jī)抽樣和隨機(jī)抽樣的比較(參考版)
2025-03-10 13:27本頁面
【正文】 tifaid] (a) choose the stratification variable(s) (b) divide the sampling frame into the discrete strata (c) number each of the cases within each stratum with a unique number (d) select your sample using either simple random or systematic sampling Stratified Sample 1. Divide Population into Subgroups Mutually Exclusive Exhaustive At Least 1 Common Characteristic of Interest 2. Select Simple Random Samples from Subgroups All Students Parttime Fulltime Sample sampling technique (4)Cluster sampling (a) Choose the cluster grouping for your sampling frame (b) number each of the clusters with a unique number. The first cluster is numbered 0, the second 1, and so on (c) select your sample using some form of random sampling Cluster Sample 1. Divide Population into Clusters If Managers are Elements then Companies are Clusters 2. Randomly Select Clusters 3. Survey All or a Random Sample of Elements in Cluster Companies (Clusters) Sample sampling technique (5) Multistage sampling Overview of probability sample 1. Quota sampling 2. Purposive sampling 3. Snowball sampling 4. Selfselection sampling 5. Convenience sampling 4. Nonprobability sampling 4. Nonprobability sampling (1) Quota sampling (a) divide the population into specific groups (b) calculate a quota for each group based on relevant and available data (c) give each interviewer an assignment, which states the number of cases in each quota from which they must collect data (d) bine the data collected by interviewer to provide the full sample
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