Research Study Question, Hypothesis, Research Design, and Data Type
Christopher Malone
The University of Arizona Global Campus
HIA 625 Principles of Biostatistics
Dr. Morse
08/30/21
Research Study Question, Hypothesis, Research Design, and Data Type
This section of the research study outlines the research questions, research design, and data types. The primary question the study intends to answer is the impact of vaccines on disease prevalence. Sub questions will further apply in the study. The research design is correlational, where independent and dependent variables are compared to establish a relationship (Kuziemsky & Yee, 2017). The independent variable in the research is vaccines, while the dependent variable is disease prevalence. The study will use secondary data because of ease of accessibility.
Research Question/Hypothesis
The main question in this study will be:
What is the effect of vaccines on the prevalence of diseases?
To respond fully to the question, three questions will be used during the study. The questions include:
a) What are the implications of drugs on individual and national health, economy, and social structures
b) What are the impacts of technology on vaccine immunizations and outcomes?
c) Apart from creating vaccine awareness through publicizing its benefits, what else can be done to ensure increased vaccine awareness and acceptance?
Research Design
The study on vaccines will apply a correlational study. A correlational study is where two variables are compared. The two variables that will be present during the study are the independent variable that remains unchanged and the dependent variable under study (Kuziemsky & Yee, 2017). Through the correlational study design, the research will identify how vaccines have contributed to disease prevalence patterns. In that case, the independent variable is the vaccine. The dependent variable is disease prevalence. Therefore, the study will majorly focus on disease spread amid the introduction of vaccines. For instance, have vaccines contributed to the increased occurrence of disease or reduced the prevalence? Examples of diseases treated through vaccinations shall be considered broadly to give a more understanding of the topic.
A correlational study is a good fit for this particular study because it provides a chance to analyze how the use of vaccines transformed the fight against diseases. Thus, there will be a good understanding of the effectiveness of vaccines and fighting against diseases (Kuziemsky & Yee, 2017). The second reason the correlational study is preferable for the research is that it will open opportunities for more studies to be conducted based on the outcomes at the end of the research. If the study shows that vaccines reduce disease prevalence by a large margin, the focus will be on alternatives to effectively handle infections.
Data Type
The research study on vaccines will use secondary data sources. Secondary sources are those already containing the requisite information on vaccines (Smith, 2008). The study will use peer-reviewed articles and government cites to obtain credible information during the study. The advantage of secondary data sources is the ease of accessibility (Smith, 2008). They, therefore, reduce the time and costs of conducting a study. The articles shall be identified from Google Scholar and PubMed. The resources for use will be five years or less to ensure that the research contains current data on vaccines and disease prevalence. Moreover, current resources will guarantee high accuracy within the research.
Conclusion
In conclusion, the study design used is correlational. The focus of the study is establishing the relationship between vaccines and the spread of diseases. Secondary data types will be used.
References
Kuziemsky, C., & Yee, L. F. Y. (2017). Handbook of eHealth Evaluation: An evidence-based approach. University of Victoria.
Smith, E. (2008). Using secondary data in educational and social research. Open University Press.
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