Research Theory Week 10

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Walden University *

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6100

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Marketing

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Feb 20, 2024

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docx

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1

Uploaded by CorporalPrairieDog2575

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. Probability sampling, which allows researchers to randomly select volunteers from a particular demography, is the best method for selecting study subjects. Probability sampling is the selection of a sample from a population based on the concept of randomization, also known as random selection or chance. Probability sampling is more complicated, time-consuming, and often more expensive than non-probability sampling. This strategy is regarded as the best option for selecting study subjects because it involves random sampling, which lowers researcher bias and may produce findings that best represent the broader community. Probability samples are the gold standard in sampling methodology and for assuring the generalizability of study outcomes to the target population. (Acharya et al., 2013). 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. The ethical issue here, in my opinion, would decide where and how your research is conducted. If the precise location is stated, there may be a privacy concern, as well as a lack of informed agreement in the manner you intend to use their involvement. Last, explain the relationship between measurement reliability and measurement validity using an example from your discipline. A method's reliability and validity are both concerned with how accurately it measures things. A measure's dependability is defined as its consistency, or whether the results can be reproduced under the same conditions. Validity refers to a measure's precision and if the findings accurately represent what they are supposed to measure. The distinction between the two is critical in healthcare because it allows researchers to evaluate the shortcomings and strengths of their research findings and decide how to interpret and use those findings to improve patient outcomes (McKinley et al., 1997). References: Anita S Acharya, Anupam Prakash, Pikee Saxena, Aruna Nigam. Sampling: Why and How of it? (2013). https://www.researchgate.net/profile/Anita-Acharya-2/publication/256446902_Sampling_Why_and_Ho w_of_it_Anita_S_Acharya_Anupam_Prakash_Pikee_Saxena_Aruna_Nigam/links/ 0c960527c82d449788000000/Sampling-Why-and-How-of-it-Anita-S-Acharya-Anupam-Prakash-Pikee- Saxena-Aruna-Nigam.pdf McKinley, R., Manku-Scott, T., Hastings, A., French, D., Baker, R., director, Lilly, E. (2017). Reliability and validity of a new measure of patient satisfaction with out of hours primary medical care in the united kingdom: development of a patient questionnaire. https://www.bmj.com/content/314/7075/193
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