This week you will prepare a 1-2 page report comparing and contrasting the differences between conducting a qualitative research study vs doing secondary data analysis.
The paper should describe the two types, including the research protocols for both types, and compare the similarities as well as contrast the differences.
Follow the template for more guidance: research methods – unit 3 template.docxChoose ONE article only and submit your 1-2 page report by clicking the title Week 3 Assignment above. Include specific examples from the course readings to support your writing. Cite all references in proper APA 6th edition style.
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When it comes to research in the field of medicine, there are various types of research methods available. Conducting a qualitative research study and doing secondary data analysis are two such methods. While both these research methods have their own set of protocols, they differ in their approach towards gathering and analyzing data. In this report, we will compare and contrast the differences between conducting a qualitative research study and doing secondary data analysis.
Differences between Conducting a Qualitative Research Study and Doing Secondary Data Analysis:
A qualitative research study is defined as a type of research that deals with subjective data rather than numerical data. It is mostly used for understanding and exploring phenomena and generating theories. In a qualitative research study, data is usually collected through interviews, focus groups, and observations. This type of research method involves deep exploration of the data collected and focuses on qualitative characteristics such as motivations, experiences, and attitudes.
On the other hand, secondary data analysis is defined as a type of research that involves analyzing data that has already been collected and synthesized by others. It is mostly used for validating or extending existing research. In secondary data analysis, data is usually collected through surveys, administrative records, and clinical charts. This type of research method involves macro-level analysis and focuses on quantitative characteristics such as demographics, prevalence, and incidence rates.
Similarities between Conducting a Qualitative Research Study and Doing Secondary Data Analysis:
Even though they have their differences, conducting a qualitative research study and doing secondary data analysis share certain similarities. For example, both these research methods rely on the interpretation of data. While a qualitative research study involves analyzing and interpreting subjective data, secondary data analysis involves analyzing and interpreting numerical data. Furthermore, both methods involve a theoretical framework or a conceptual model to guide data analysis.
In conclusion, even though they have their differences and similarities, both conducting a qualitative research study and doing secondary data analysis play a vital role in the field of medicine. Researchers have to choose between the two depending upon their research goals, objectives, and research questions. With the advent of technology and the availability of various research methods, the field of medicine is continuously evolving, and it is essential for researchers to keep up with these changes to ensure high-quality research outcomes.