Probability Sampling Is the Best Strategy for Subject Selection

Selecting research participants requires careful consideration of the study question. I concur with the author that the chosen study sample should reflect on the variations in a target population. Probability sampling is a standard methodology that ensures the generalizability of results to a target population (Acharya, Prakash, Saxena, & Nigam, 2013). Its random approach guarantees each subject an equal opportunity of selection. I believe that the ease of administering surveys makes it a preferable method of data collection. It is an economical tool that can reach a large number of people. However, one of its limitations is differences in understanding and interpretation. Besides, potential ethical issues may arise due to the use of sensitive questions on topics such as mental health (Brace, 2018).

Restatement of Assigned Position On Sampling Strategies

Researchers can use simple, systematic, and stratified random sampling to select research participants. I agree with the post that the use of a random process in these methods eliminates bias and engages subjects with different attributes. Thus, it achieves a fair representation of the larger target population. Simple random sampling relies on a finite number of elements and an absence of overlapping traits to randomize the exercise (Alvi, 2016). Systematic random sampling entails selection at specified intervals (Alvi, 2016). Stratified sampling is applicable in heterogeneous populations where subgroups contain similar characteristics (Alvi, 2016). Whereas the use of a survey is a cheap and convenient data collection method, researchers have to obtain consent from participants.

Nonprobability (Or Purposive) Sampling Represents the Best Strategy for Participant Selection

Purposive sampling entails the use of specific participants who suit the defined inclusion criterion of a given study (Acharya et al., 2013). Thus, I support the claim that purposive sampling contributes to the comprehension of one particular concept. The selection process relies on the predetermined purpose and elements of the study (Alvi, 2016). One limitation of the method is that it does not allow variability in the characteristics of the participants (Acharya et al., 2013). Hence, there is a possibility of bias. Besides, a generalization of results obtained from the purposive sampling cannot occur beyond the selected population sample.

References

Acharya, A. S., Prakash, A., Saxena, P., & Nigam, A. (2013). Sampling: Why and how of it. Indian Journal of Medical Specialities, 4(2), 330-333. doi: http://dx.doi.org/10.7713/ijms.2013.0032

Alvi, M. (2016). A manual for selecting sampling techniques in research. Retrieved from https://mpra.ub.uni-muenchen.de/70218/1/MPRA_paper_70218.pdf

Brace, I. (2018). Questionnaire design: How to plan, structure, and write survey material for effective market research. London, UK: Kogan Page Publishers.

 
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