This report looks at research methods including the debate between qualitative and quantitative research methodologies, and relates these methodologies to the healthcare field in terms of providing cost effective solutions to healthcare problems like Medicare and other problems. The difference between qualitative and quantitative research approaches is also highlighted in the current report in the relationship between different paradigms of inquiry and definitions of paradigms. The features of logical positivism and phenomenology are therefore also used in approximate relativity to quantitative and qualitative methods, with the assumption being that qualitative methods are more reflective of the subjective approach of phenomenology. However, the report is also open to other definitions of paradigm and category in specific terms of healthcare research topics and new definitions of both types of research approach. “There is no universally accepted definition of qualitative research, because it is a field of enquiry rather than a single entity. Qualitative research is a broad term for a variety of research approaches… 'Qualitative research is an inquiry process of understanding based on distinct methodological traditions of inquiry that explore a social or human problem. The researcher builds a complex, holistic picture, analyses words, reports detailed views of informants, and conducts the study in a natural setting” (Coates, 2004).
Table of Contents
1. Introduction
2. Paradigms and theoretical underpinnings
3. Mixed methods research
4. Conclusion
Research Objectives and Topics
The report aims to analyze the debate between qualitative and quantitative research methodologies, specifically relating them to healthcare cost management within programs like Medicare. It explores how distinct paradigms—logical positivism and phenomenology—inform current healthcare research and investigates the potential efficacy of mixed-method approaches in addressing complex organizational and systemic issues.
- Comparison of logical positivism and phenomenology as research paradigms.
- Evaluation of cost-effectiveness and management in healthcare systems.
- Application of research methodologies to government health programs like Medicare.
- Integration of mixed methods to balance objectivity and subjective insight.
- Analysis of organizational and political factors in healthcare policy.
Excerpt from the Book
Paradigms and theoretical underpinnings
The first paradigm considered is logical positivism. This paradigm can roughly be equated as mentioned above with the quantitative approach to research methodology. It is a kind of research that comes from the theory that science is capable of providing definitive and objective statements regarding the proving or disproving of hypotheses, based on proof and deduction as well as statistics and mathematical reasoning. The theoretical underpinnings of logical positivism go back to the early twentieth century reliance on science and mathematical progress to solve the problems of the world, in healthcare and other environments. And logical positivism is still very strong in healthcare research, in terms of clinical trials and new drugs. But it is not as popular in the areas of healthcare the include improving cost effectiveness in government programs, because politics and science don’t traditionally tend to travel too closely.
Summary of Chapters
Introduction: This chapter introduces the ongoing debate between qualitative and quantitative methodologies and sets the context for their application within the US healthcare sector and government programs.
Paradigms and theoretical underpinnings: The chapter explores the core philosophical distinctions between logical positivism and phenomenology, examining their influence on scientific rigor, objectivity, and research design.
Mixed methods research: This section investigates how combining qualitative and quantitative approaches can offer a more robust understanding of healthcare cost issues, mitigating the inherent limitations of each singular paradigm.
Conclusion: The chapter summarizes the findings regarding the complementary nature of research designs and reiterates the importance of selecting appropriate methodologies for complex healthcare management challenges.
Keywords
Qualitative research, quantitative research, logical positivism, phenomenology, healthcare management, Medicare, mixed methods, research design, cost effectiveness, paradigms, healthcare policy, evidence-based practice, scientific objectivity, data analysis, organizational change.
Frequently Asked Questions
What is the primary focus of this report?
The report examines the methodological differences between qualitative and quantitative research and evaluates their utility in addressing financial and operational challenges within government-sponsored healthcare programs.
What are the central thematic areas?
The core themes include the debate over research paradigms (logical positivism vs. phenomenology), the role of cost-effectiveness in managed care, and the integration of these methodologies in health policy analysis.
What is the main research objective?
The objective is to determine how research design choices impact the ability of healthcare administrators and policymakers to solve real-world problems like managing Medicare costs.
Which scientific methods are analyzed?
The report focuses on logical positivism (quantitative, deductive) and phenomenology (qualitative, inductive), while also advocating for mixed methods to leverage the strengths of both.
What does the main body address?
It provides a deep dive into the theoretical underpinnings of scientific inquiry in healthcare, discusses the limitations of relying on a single research approach, and reviews how political factors influence "objective" data.
Which keywords best characterize this work?
Key terms include qualitative vs. quantitative research, paradigm shift, healthcare cost management, Medicare, and mixed-method research design.
How does phenomenology specifically impact healthcare research?
Phenomenology emphasizes individual patient experiences, holistic care, and subjective perspectives, which the author argues is crucial for understanding nuanced healthcare delivery issues.
Why is a mixed-method approach proposed?
The author suggests that mixing methods combines the statistical rigor of quantitative designs with the depth of qualitative understanding, leading to more informed and ethical decision-making.
- Citar trabajo
- Cory Contini (Autor), 2009, Qualitative > Quantative Research, Múnich, GRIN Verlag, https://www.grin.com/document/230614
