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A Researcher Based In Miami Wants To Learn About The Experiences Of Ho

A researcher based in Miami wants to learn about the experiences of homeless people in the United States by conducting interviews with them. He plans to conduct in-person interviews with the homeless people he samples. He is having trouble deciding how to draw a representative sample of homeless people because homeless people are difficult to find, often move from place to place, and are often cycled in and out of homelessness. The researcher has one year and a $5,000 grant with which to conduct his interviews. Your task is to help this researcher.

1. What is the population he wants to generalize to?
2. What are possible sampling frames (sources) from which he can draw his sample?
3. What do you think would be a good/realistic sample size?
4. What sampling methods would you suggest he uses? Why?

Paper For Above Instructions

The population that the researcher intends to generalize to comprises the diverse group of homeless individuals across the United States. This population includes individuals currently experiencing homelessness, those who have experienced homelessness in the past, and possibly, variations in socio-economic backgrounds, reasons for homelessness, and demographics such as age, gender, and ethnicity. Understanding the experiences of this population is crucial, as it helps to highlight the multifaceted nature of homelessness and can inform policies and services aimed at addressing their needs.

Identifying effective sampling frames to draw a representative sample of homeless individuals is vital. Possible sources could include local shelters, food banks, community organizations, and outreach programs that work directly with homeless populations. These organizations often have established relationships with homeless individuals and can facilitate access to them. Additionally, collaborating with social workers and volunteers in the field may also provide insights into transient homeless groups. Utilizing government data on homelessness, such as the Homeless Management Information System (HMIS), can help pinpoint areas with higher concentrations of homeless individuals, aiding the sampling process.

The ideal sample size for qualitative research, particularly interviews focusing on experiences, can vary. However, for this study, aiming for a sample size of approximately 30 to 50 participants is realistic and sufficient. This range allows for diverse perspectives while still being manageable within the one-year timeframe and budget. A sample size of this magnitude can capture a wide variety of experiences, while providing adequate depth for analysis without overwhelming the researcher.

For sampling methods, a combination of purposive sampling and snowball sampling would be particularly effective in this scenario. Purposive sampling allows the researcher to intentionally select individuals who meet specific criteria relevant to the study (e.g., recent experiences of homelessness, different demographics). This method helps ensure that essential perspectives are included in the research. Snowball sampling is also beneficial; once the researcher establishes initial contacts within the homeless community, these individuals can refer others they know, thus facilitating access to a broader network of homeless people. Given the transient nature of this population, snowball sampling can lead to more meaningful connections and insights that may not be possible through more conventional sampling methods.

Challenges and Ethical Considerations

The researcher must consider the challenges associated with conducting interviews with homeless individuals, such as potential mistrust, the need for a flexible approach regarding location and timing, and ensuring the safety and comfort of the participants. Building rapport with participants is essential for obtaining honest and reflective responses. Additionally, ethical considerations, such as obtaining informed consent and guaranteeing confidentiality, should be addressed. The researcher should also consider the potential impacts of their research on participants and strive to do no harm.

Conclusion

In conclusion, the researcher in Miami can effectively study the experiences of homeless individuals by clearly defining the population of interest, utilizing various sampling frames, selecting a pragmatic and manageable sample size, and employing purposive and snowball sampling methods to recruit participants. By addressing the challenges associated with this population and adhering to ethical guidelines, the researcher can gather invaluable insights into the lives and experiences of homeless individuals. This research has the potential to inform programs and policies that positively impact this often-overlooked community.

References

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• Culhane, D. P., & Metraux, S. (2008). Revisions to the homeless management information system (HMIS) data standards: The case for a demography of homelessness. Journal of Sociology & Social Welfare, 35(4), 49-68.
• Fischer, P. J., & Breakey, W. R. (1991). The epidemiology of homelessness. The American Journal of Public Health, 81(6), 621-627.
• Rosenheck, R. (2000). The interface between mental illness and homelessness. In Homelessness: A national perspective (pp. 161-187).
• National Alliance to End Homelessness. (2020). The State of Homelessness in America 2020. Washington, D.C.
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• United States Interagency Council on Homelessness (USICH). (2021). Homelessness in America: A review of the literature. USICH.