300 Core Assessment
Running head: SAMPLING 2
SAMPLING 2
Sampling
Student’s Name
Institutional Affiliation
Sampling
Depression in Michigan is a mental health issue that has attracted the interests of many researchers. The previous researches on depression have identified two major types of depression which are depressive disorder and dysthymia depression. However, this research topic focuses on general depression in the State of Michigan and evident impacts resulting from it. In 2007, an estimation revealed that residents experience an approximately 3.7 mentally sick days within the past 30 days than to 3.4 mentally sick days for the whole United States population (Young et al., 2008). This increased rate indicated a high number of suicidal incidences among the people of Michigan. As a result, a research question is, has the suicidal incidences caused by people with depression decreased in Michigan in the past five years? This question provides a good background for research to compare and analyze any changes for suicidal incidences for recent years.
A random sample for the study is the best because as a researcher, I have an accurate knowledge of the probability for each proposed element in the sampling frame. An individual with depression has nonzero chances of being selected as a sample’s part (Betancourt et al., 2018). With random sampling, it is easy to obtain unbiased findings of the depressed population from studying the sample. Once the decision on the random sample is in place, the next step is opting for the survey method in which few people are required to conduct a survey. This kind of random sample requires a researcher to number each member of the survey depressed population.
The proposed research project has individuals with depression in Michigan as the target population. Individuals with depression in Detroit, Wayne County, Michigan form the research project’s sampling frame. Detroit is the leading municipality in the State of Michigan with high incidences of suicidal incidences due to depression. Also, Detroit’s population is made up of different races, such as white, black Americans, and Hispanic. Sources for this depression information and data is from healthcare agencies such as Detroit-Wayne County Community Mental Health Agency and the Department of Health and Human Service reports (Alhasanat-Khalil et al., 2019). Also, peer-reviewed journal articles are essential sources for references. A target sample size of 700 from all individuals with depression in Detroit is obtained. This 700 is a significant sample and will give essential data relationships since statistical studies need a larger sample size like the one selected. The larger target sample size ensures a representative population distribution.
References
Betancourt, F., Bürger, R., Chalons, C., Diehl, S., & Farås, S. (2018). A random sampling method for a family of Temple-class systems of conservation laws. Numerische Mathematik, 138(1), 37-73.
Young, A. S., Klap, R., Shoai, R., & Wells, K. B. (2008). Persistent Depression and Anxiety in the United States: Prevalence and Quality of Care. Psychiatric Services, 59(12), 1391–1398. https://doi.org/10.1176/ps.2008.59.12.1391