solved Read and respond in one to two paragraphs to the

Read and respond in one to two paragraphs to the following passage:Nonprobability (or purposive) sampling represents the best strategy for selecting research participants. Purposive sampling allows the researcher to utilize fewer participants or sampling size while yielding much deeper information. Since the samples are chosen deliberately, the researcher can modify the sample selection to meet the evolving needs of the study. Purposive sampling also allows for greater flexibility to change the sampling during the study. While probability sampling is completed before the study, purposive sampling can be completed before or during the study. For example, some sequential sampling can be done as one sample, and the results gleaned might then lead to another more purposeful selection of a new sample. An example of this from the literature is Glaser and Strauss’ work on “awareness of dying,” which led them to multiple sites for sampling, including a cancer ward, emergency services, and an ICU (Teddlie & Yu, 2007). Purposive sampling also allows for better comparison and contrast since samples may be deliberately selected that represent extremes of the phenomenon being studied (Teddlie & Yu, 2007). Finally, it allows for a more informal approach where the researcher uses their individual expertise to determine the appropriate sample to utilize to get the most depth of information. One data collection method that is important for both qualitative and quantitative research is the use of surveys, including self-administered questionnaires. One advantage to a self-administered questionnaire is that it is an inexpensive and quick way to generate a large amount of data. In addition, since it is self-administered, there is a higher likelihood of privacy for the person completing the survey, which may increase the chances that respondents would be truthful, especially about topics or questions that could be embarrassing (Burkholder et al., 2020). By the same token, one limitation of the self-administered questionnaire is that it can be difficult to have a high response rate and can also potentially lead to misunderstanding or miscommunication of expectations since there is no one there to offer clarification or answer questions to ensure the questionnaire is completed correctly. One potential ethical challenge with surveys, particularly those completed on the internet, can be the differential challenge for individuals living in poverty who may not have access to the internet or for individuals who lack the technical expertise or language proficiency to understand and correctly complete the survey (Burkholder et al., 2020). One potential strategy to mitigate this ethical challenge is to construct the survey questions in an unambiguous, accessible format and, where possible, in multiple languages to ensure appropriate representation of respondents. As a researcher, it is important that the survey is accessible to a wide range of respondents to ensure transferability of the information gained. As a scholar-practitioner, the purpose of my research is to inform practice and make a meaningful contribution to education. Thus, my research must be reliable and valid. Reliability refers to the consistency of the data gathered: what is the likelihood that if an individual repeated this survey at two different times, it would yield the same results? This is important since the goal of the research is to ensure transferability, or in some cases, generalization of the information learned as a result. Validity ensures that whatever metrics I am using for my research measure what they intend to measure. For example, if I am attempting to measure the effectiveness of a particular literacy intervention program but create a survey that instead asks teachers their preferences or opinion of the literacy program rather than focusing on changes in student data, then it is not a valid measure since there is no alignment between my intended purpose, my research design, and the information learned as a result. References Burkholder, G. J., Cox, K. A., Crawford, L. M., & Hitchcock, J.H. (Eds.) (2020). Research design and methods: An applied guide for the scholar-practitioner. SAGE Publications, Inc. Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research, 1(1), 77-100. https://doi-org.ezp.waldenulibrary.org/10.1177/1558689806292430