Reference no: EM133396555
Research Question:
The lack of prenatal and reproductive care received in lower socioeconomic and migrant communities continues to produce undesired and below-standard outcomes. With the appropriate resources present and the providers willing, what is the driving force behind the lack of prenatal and reproductive services received in such communities in a timely fashion? What are ways that this can be addressed?
The measure instruments that I will be using will be the that of the Clinical reasoning process, which is comprised of Inductive and deductive reasoning. With inductive being a reasoning process that in a forward fashion. This reasoning process will be great for my research as it allows the researcher, myself to use critical thinking to asses ways to identify the possible reasoning for the lack of prenatal care in such communities. The Inductive reasoning method would be a great resource to investigate ways to encourage patients to be more active in their prenatal care. In an inductive reasoning process, the researcher investigates several individual facts first, then makes a conclusion about a premise or principle based on these facts. An example would be looking into the geographic statistics of the area in which I am investigating and trying to understand, what is the driving force behind such poor outcomes.
The Reasoning process, is also comprised of the deductive reasoning method. This method allows the research to work backwards in investigating a research problem. "in a deductive reasoning process, according to Johnson-Laird [20], one establishes a mental model or a set of models to solve given problems considering general knowledge and principles based on a solid foundation. Then, one makes a conclusion or finds a solution based on the mental model or set of models. To verify a mental model, one needs to check the validity of the conclusions or solutions by searching for counterexamples." (Shin, 2019).
Another research measure instrument that I plan to use is that of the Exploratory factor analysis (EFA) is generally used to discover the factor if any to the structure of a measure and to examine its internal reliability. Thus, also allowing the researcher to worth through theory. EFA is often recommended when researchers have no hypotheses about the nature of the underlying factor structure of their measure. This process will be used in my research as I conduct surveys and questionnaire's. Such questions in the survey will have responses that range from strongly agree, agree, strongly disagree, disagree and neutral. Each response will have a corresponding number ranging from 1-5 that will tally and be added for comparison and reliability.