This method is often used when the population is large and geographically dispersed, and it is not practical or feasible to sample individuals from every part of the population. It is also useful when it is difficult to obtain a complete list of individuals in the population
When a simple random survey is used each sample is selected so that they have the same chance. An example would be, the same phone book can be used as above and all of the names of the people in the town is the population group. Each name then can be placed on a piece of paper and put into a bag. Samples then can be blindly selected as part of a simple random sample.
A stratified sample divides the population into at least two groups called strata which have the same characteristics. A sample is then drawn from each group. One might divide a sample of children into subgroups by age, like birth-12 months, 1-3, 4-7, 8-12, and 13-17. To stratify this sample, the researcher would then randomly select proportional amounts of children from each age group. This is an effective sampling technique for studying how a trend or issue might differ across subgroups.
Systemic Sampling is randomly choosing a point to start then selecting an element at a specific interval. Suppose a teacher wanted to test her class and started at the beginning of her seating rows and then asked ever 3rd student to answer questions, this would be an example of systematic sampling.
When convenience sampling is collected this is done by the easiest way possible. For example, Lisa would like to survey nurses from different blocks of her hospital but since she works ICU she surveys her coworkers because they are closest to her.
Visual Learner (n.d.) Retreived June 8, 2018, from https://lc.gcumedia.com/hlt362v/the-visual-learner/convenience-sampling.html