ASSIGNMENT
General15
NworaAnthonyEDR-8300WEEK3VIDEOSCRIPT.pptxTheoretical Framework
Student’s Name
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Theoretical Framework
The theoretical framework serves as the "roadmap" for the entire investigation.
It serves as a foundation upon which to develop and support your research, as well as a framework for defining how you will approach the research topic philosophically, epistemologically, methodologically, and analytically.
The theoretical framework for a study has repercussions for every choice made during the research process, supporting the researcher's conviction that the theoretical framework for a study should be determined at the start of dissertation work.
Theoretical Framework
Choosing an acceptable theoretical framework for your study is a critical and vital procedure that every student-researchers should undertake.
A thorough and deliberate grasp of the study topic, goal, importance, and research questions is required when choosing a theoretical framework.
The topic, goal, significance, and research questions must all be firmly connected and intricately intertwined so that the theoretical framework may serve as the basis for the work and guide the researcher's choice of study design and data analysis.
This Study’s Theoretical Framework
Nurses are no longer bound by the dominant discourse of the past, the "paradigm wars," which required integration with one of the philosophical paradigms and a particular methodology for doing research.
Modern methodological pragmatists believe that blending research approaches is permitted provided the method is led by phenomena and ideally theoretically based.
While research methodologies are not necessary to follow a certain methodological paradigm, philosophical assumptions should have a significant effect on research procedures.
The study's epistemology and ontology shape the viewpoint and dynamic relationship with technology on a regular basis, which considerably adds to the study's framework.
Cont’d
Due to the nature of sensor data (quantitative) and the nature of contextualized clinical aspects that influence sensor data (qualitative), an integrated approach to boost knowledge development of AI systems in healthcare research will be devised.
The fundamental goal of AI in healthcare research is to see how doctors perceive AI in their practices and whether the tools' adoption leads to a revolution in medicine.
The other goal is to find out what concerns healthcare professionals have about AI's impact on data security and privacy.
Quantitative information system research, on the other hand, will be done inside a well-defined framework derived from the literature, with a clear underlying expectation of how the phenomena would likely behave.
Cont’d
Because the goal of this study was to analyze individual behaviors in a specific sample, the quantitative technique seemed ideal. A hypothesis is verified or tested using quantitative research methods.
Quantitative approaches have shown to be beneficial and important in a community of scientists that share a common objective of acquiring a better understanding of information systems (IS) phenomena.
The quantitative method had the advantage of being able to generalize to a whole population or a sub-population because it used a smaller sample, but the disadvantage was that it tended to take only a snapshot of a concept at a specific time and may not have been in-depth, and it underestimated test-takers' and testers' experiences as well as what they intended by so doing.
Hypothesis and the Research Framework
In order to uncover important patterns that explain a specific occurrence, qualitative research comprises the construction of scientific narratives as well as the analysis and interpretation of textual or numerical data (or both) acquired mostly via interviews and conversations.
It is critical to understand various ways for constructing and delivering these advanced scientific narratives in order for them to convey scientific information.
A qualitative hypothesis can be used to do this. Testing hypotheses in qualitative research is usually fraught with issues that cause concern.
