Method Advantages Exhaustive sampling Simple Random sampling Each houshold is interviewed. Randomly select unit from the general population. Every unit has an equal chance of being included in the study. Good representativity, Ideal for statistical Good knowledge of the purposes population Long to implement, Disadvantages Long to record data, High cost. Criteria Small target population 1. Hard to achieve in practice 2. Requires an accurate list of the whole population 3. Expensive to conduct as those sampled may be scattered over a wide area. Systematic sampling Cluster Sampling Startified sampling This is random sampling with a system! From the sampling frame, a starting point is chosen at random, and thereafter at regular intervals. Clusters are randomly selected from the general population. Several individuals within each cluster are then interviewed. This is random sampling with a system! From the sampling frame, a starting point is chosen at random, and thereafter at regular intervals. Spread the sample more evenly over the Saving of travelling population Easier to conduct tha a time, and reduction in simple random sample cost No need of exhaustive list The system may interact with some hidden pattern in the population.D3 1. Units close to each other may be very similar and so less likely to represent the whole population 2. Larger sampling error than simple random sampling All cases with Population living in close All cases, even with exhaustive list of the neighbourhood widespread population target population KAP survey e-learning module 1. Spreads the sample more evenly over the population 2. Easier to conduct than a simple random sample The system may interact with some hidden pattern in the population, e.g. every third house along the street might always be the middle one of a terrace of three Stratified population in terms of living style (ethny, religion, location…)
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