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¶ … blended study, both qualitative and quantitative in nature. The blend between numbers-based data and analysis and more abstract and conceptual work is necessary because of the totality of what is being looked at and how the research will be done (Lund, 2012).
Rationale for Study Type Selection
While the before and after results of hypertension of patients in this case will be strictly numerical and statistical in scope, the formulation and tracking of the interventions, education and so forth that will form the control for the experiment will certainly be based more on concepts, evidence-based practice and the ostensibly proper ways to enforce and impose interventions on patients (McDonald & Blackwell, 2006). After all, the behaviors and changes under way are not something more detached and simple like whether a medication is take or not or whether a therapy is administered. The people involved will be instructed on what to do but they will have to be the ones to do it then the results of the intervention will be measured. The depth, breadth and scope of how far the people with doing the intervention will matter a great deal. At the very least, there needs to be homogeneity and sameness from patient to...
With that being said, the strategy shall be shown in the remainder of this brief section.
Sample Size
• A sample of 50 to 100 would be best with half of the group, at random, being the control group and the other half being a test bed for the interventions to be levied.
• The use of random selection helps avoid selection bias and helps make the sample as pure as possible. However, there are some reasons that selected people might later be removed from the sample, albeit for a good reason (Hanley, 2017).
Inclusion Criteria
• First, men and not women are being used because patterns are different when the biological sex of the person involved is different. Indeed, an otherwise identical study with women could be done but this study will focus specifically on men (Marra et al., 2016).
• For similar reasons, only men over 30 shall be looked at since men under the age of 30 are disproportionately less likely to have issues with…
References
Hanley, J. A. (2017). Correction of Selection Bias in Survey Data: Is the Statistical Cure Worse
Than the Bias?. American Journal of Public Health, 107(4), 503-505.
doi:10.2105/AJPH.2016.303644
Lund, T. (2012). Combining Qualitative and Quantitative Approaches: Some Arguments for Mixed Methods Research. Scandinavian Journal Of Educational Research, 56(2), 155-
M., 2009, p. 1474). IMPACT on the FAMILY: Although hypertension is one of the most prevalent of all disorders in the United States, it does not affect nor impact the family of a person with this disorder as much as other diseases, such as heart disease, stroke, Alzheimer's and other disorders associated with the central nervous system. Overall, hypertension does affect a person's family in one important way, being the build-up of
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