Advantages Of Simple Sampling And Accuracy Of Representation

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Advantages of simple sampling: a. Representative and Freedom from human bias b. Ease of sampling and accuracy of representation (Andrews, 1999-2015). Disadvantages of simple sampling: a. It is expensive and time consuming. b. Sample selection bias may occur (Horton, 2015). Systematic random sampling: can be described as a most commonly used method in which after a number has been allocated to an individual in the population frame, the first person is selected using a random number table or out of a hat and subsequently those who take part in it are selected or picked using a fixed sample interval (Mathers, Sampling for surveys, 2009, p. 11). Advantages of systematic sampling: a. It is so simple to use. b. It is cheap and saves time. c. It examines bias in subsequent selections of samples (community, 2015). Disadvantages of systematic sampling: a. It cannot be good for periodic data. b. It is possible to lose important data from the population. c. It cannot be possible to select the required sample size if the population is very small (community, 2015). Stratified random sampling: can be described as a way of making sure that specific strata or categories of people are represented in the sampling process (Mathers, Sampling for surveys, 2009). Advantages of stratified sampling: a. It minimizes sample selection bias. b. It makes sure that certain segments of the population are neither overrepresented nor underrepresented (Investopedia, 2015). Disadvantages of stratified
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