5 Common Sampling Techniques Used in Business Research Essay

added to the limitations of the method. It could be argued that random sampling would provide a

The researchers used purposive sample but did not give any explanation as to why this choice sampling was made. It is essential to describe the sampling process in a research where this facilitates the reader to distinguish any bias in the whole sampling process. In studies using participants, the process of how to select, access, inform and retain research participants requires considerable thought. Sampling is a key issue, because it is

According to Acharya, Prakash, Saxena, and Nigam (2013), sampling designs are classified into two categories: probability sample and non-probability sample. Probability sampling aids in the generalizability of the results because individuals in the population have an equal chance of being selected to participate in the study (Acharya et al., 2013). With the non-probability sampling method, every individual does not have the same chances of being included (Frankfort-Nachmias, & Nachmias,

Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?

In this essay, I will appraise the sampling methods used in the following two case studies:

In Greyber, L. , Dulmus, C. , & Cristalli, M. (2012) article, it indicated that the sample size consisted of 59 children participates ages 6-16. Non-Probability sampling was used in this study, as most of the children sampled were referred from a child psychiatric outpatient clinic. According to Rubin and Babbie (2014), this type of convenience or purposive sampling is the

Prior to this course I thought I could look at current research and appraise a study; however, after this course I determined my knowledge about research studies was limited. Now when I look at the sampling methods and how the data was analyzed I can review it with a new lens. This is especially evident with how samples are determined. Establishing how a sample will be taken is of utmost importance and according to Polit and Beck (2017) validity of a study is directly impacted by how the sample is obtained and how it can be generalized to the overall population. Many factors can cause a sample to not be representative or result in bias through convenience sampling. When I look at a study now I look at

The convenience sampling method will be most appropriate for Bank of America’s research as it will save time and money. The goal of the sample is to find what is most important to customers and if they would be willing to pay increased fees. Bank of America will have access to every one of their customers by way of banking or ATMs. Surveys can be assigned to ATMs, or handed out at Bank of America locations as customers arrive for their day-to-day banking needs. These samplings will be random. Probability sampling, based on random selection, ensures each population element is a known nonzero chance of selection. This provides estimations of precision and offers an opportunity for generalized findings to the population of interest from the sample population. Thus Bank of America can both conveniently and randomly survey customers. In addition to improving the validity of the sample, convenient randomized sampling promotes good

Convenience sampling is a process of selecting participants for examination and analysis based on their accessibility, ease, speed, and low cost. The participants are often not purposefully or strategically selected (Brewis, 2014).

Lind, D. A. (2005). Statistical Techniques in Business & Economics (12 ed.). New York: The

Random Sample: A sample in which every “person of interest” has an equal chance of being selected into your research study.

When conducting a study, it is impossible to collect data from the whole population, therefore it is important to select a representative sample because sampling makes it possible to select a representative for study and discover things that apply to many more people who are not studies (Maxfield & Babbie, 2012). The purpose of sampling is to generate a set of individuals or other entitles that give us a valid picture of all such individual or other entitles. It is important to generalise from a sample to unobserved population the sample in intended to represent. Therefore, when selecting a group of subjects for study, it is important to ensure that we represent some larger population.

c. A non-random sampling is more convenient because getting data by putting up flyers is easier than looking through the entire population of SJSU.

There are variety of sampling techniques that can be used, but the purpose of sampling is that the researcher requires the findings obtained from a study to be true of the population in which it was drawn from (Eysenck, 2006). So that the sample of behaviour will be accurate when generalising results to the rest of the target population. In order to do this researchers must ensure that they use a representative sample not a biased sample. The benefit of stratified sampling is that subgroups are created within a population meaning it is more likely to be a representative sample when generalising

According to Hair et al. (2003), in the research, the sampling process enables identifying, developing and understanding an interested object that need to be determined (p.333). Hence, in order for the researcher to carry out the sampling appropriately, advantages and disadvantages of the various sampling methods should be considered along with the theoretical component of the study (Hair et al. 2003, p. 368 f). Theoretically, the sampling procedure is divided into two major types which consist of probability and nonprobability sampling. In probability sampling, individuals have a known chance of being selected. While, in non-probability sampling, individuals do not have a known possibility to be selected (Sekaran 2003, p. 269 f). Also, the different sampling methods provide different advantages and disadvantages. Hence, the researcher should consider this point before choosing the sampling method for the