RSCH6110 week 10 DB

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Jun 10, 2024

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Post a restatement of your assigned position on sampling strategies. Explain why this position is the best strategy for selecting research participants. Support your explanation with an example and support from the scholarly literature. Next, select a data collection method (e.g., surveys, interviews, observations) and briefly explain at least one strength and at least one limitation. Then, identify a potential ethical issue with this method and describe a strategy to address it. Last, explain the relationship between measurement reliability and measurement validity using an example from your discipline. Be sure to support your Main Issue Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. Read a selection of your classmates’ postings. Position and why it’s the best: Position A: Probability sampling represents the best strategy for selecting research participants. Probability sampling is one of the best sampling options available. Probability sampling is primarily used in quantitative studies, and allows for the selection of a large number of participants in a random manner, to “achieve representativeness, which is the degree to which the sample accurately represents the entire population” (Teddlie & Yu, 2007, p.77). Probability samplings allows the researcher to use random sampling allowing for the most balanced number of participants (Teddlie & Yu, 2007). Researchers may also use stratified sampling, which allows them to isolate their participants by very specific subcategories and test if they hypotheses remains the same for each subcategory (Teddlie & Yu, 2007). They can also use cluster sampling, and a combination of all three (Teddlie & Yu, 2007). For example, if a researches wants to find out how recent inflation has affected families across America in terms of housing costs and groceries, the researcher can use random sampling to get a large number of respondents, and then use stratified sampling to use subcategories based on income level to determine what the greatest impact has been to families. Data collection method: Survey’s would be the best collection method with probability sampling as it is the easiest way to get a large number of responses, and a greater possibility to reach more participants in all geographical areas (Burkholder et
al., 2020). It allows participants to remain anonymous, given greater likelihood to honest responses (Burkholder et al., 2020). However, a limitation of surveys is that there is no guarantee that there will be a response rate high enough and/or from a sufficient differential sample. In survey, ethical concerns still exist. Proper informed consent explaining the purpose of the study, study procedures, potential discomforts, anticipated benefits, any incentives, and how confidentiality will be maintained (Burkholder et al., 2020). Measurement reliability is the extent to which measurements are repeatable, meaning a different researcher in a different city performing the same study is able to get the same results (Drost, 2011). Measurement validity looks at whether the measures used give the intended results (Drost, 2011). Using the example of how inflation has impacted families, a researcher in Virginia, a researcher in Texas, and a researcher in Michigan should all be able to get similar results if they are using the same methods and samplings. Burkholder, G. J., Cox, K. A., Crawford, L. M., & Hitchcock, J. H. (Eds.). (2020). Research designs and methods: An applied guide for the scholar-practitioner. Thousand Oaks, CA: Sage. Drost, E. A. (2011). Validity and reliability in social science research. Education research and perspectives, 38 (1), 105-124. Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research, (1), 77-100 Respond to a classmate who was assigned the opposite position by further supporting or respectfully countering his or her position. Hey Danielle, I enjoyed reading your post this week on nonprobability sampling. One downside of nonprobability sampling is that it does not allow for an accurate representation of a larger population, and as a results, not all members of the population and/or geographical areas are able to participate in the study. However, nonprobability sampling would be appropriate if you were to research a very specific group of people. Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research, (1), 77-100
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