As the owner of a popular clothing establishment, it came to my attention during the weekly staff meeting that customer satisfaction was a concern the employees were voicing. This discussion led to the potential of performing a survey throughout our ten locations, which serve over two-hundred customer per day. The quandary is how we build this sample.
When gathering satisfaction data from a population, such as the customers of a popular clothing store, surveys are very beneficial. However, there are two different survey methodologies used, which are population studies and sampling. Both methods can provide meaningful as well as accurate data, but noticeable limitations can be encountered as well as advantages gained from these methods. Thus, in classic statistical usages, populations are generally enormous; therefore, when the budget and human resources have limitations, and time is of the essence, sampling becomes a viable option. Moreover, the reasoning behind this statement is that for most purposes we obtain suitable accuracy quickly as well as inexpensively on information gained from the sample as opposed to the whole population (Bennett, Briggs, and, Triola, 2012). Consequently, the bottom line is it proves wasteful as well as foolish to use the entire population when a sample, drawn scientifically, provides …show more content…
In convenience sampling, the nearest or most convenient respondents are sampled. An example of convenience sampling would be to ask the nearest customers to respond, while quota sampling is when an interviewer has a given quota of a certain type of individual to interview such as certain number of men, women, or teens. Thus, I believe quota sampling will best reflect the opinions of the general population and offers the best results for improving overall
When gathering satisfaction data from a population, such as the customers of a popular clothing store, surveys are very beneficial. However, there are two different survey methodologies used, which are population studies and sampling. Both methods can provide meaningful as well as accurate data, but noticeable limitations can be encountered as well as advantages gained from these methods. Thus, in classic statistical usages, populations are generally enormous; therefore, when the budget and human resources have limitations, and time is of the essence, sampling becomes a viable option. Moreover, the reasoning behind this statement is that for most purposes we obtain suitable accuracy quickly as well as inexpensively on information gained from the sample as opposed to the whole population (Bennett, Briggs, and, Triola, 2012). Consequently, the bottom line is it proves wasteful as well as foolish to use the entire population when a sample, drawn scientifically, provides …show more content…
In convenience sampling, the nearest or most convenient respondents are sampled. An example of convenience sampling would be to ask the nearest customers to respond, while quota sampling is when an interviewer has a given quota of a certain type of individual to interview such as certain number of men, women, or teens. Thus, I believe quota sampling will best reflect the opinions of the general population and offers the best results for improving overall