DePoy and Gitlin consider big data studies as part of the the:
A mixed methods tradition
B naturalistic tradition
C a tradition all of its own
D experimental-type tradition
The correct answer and explanation is:
The correct answer is: C a tradition all of its own.
DePoy and Gitlin, in their work on research methodologies, place big data studies in a category that is distinct from traditional research methods. They argue that big data requires a unique approach to research that doesn’t neatly fit into the established research traditions like mixed methods, naturalistic, or experimental-type traditions.
The reason for this is that big data involves large, complex datasets that can span numerous variables and are often generated through new technologies or digital platforms. These datasets may not always adhere to the same principles as traditional research, which generally involves more controlled, smaller-scale studies. In big data studies, the sheer volume and variety of information available can make it challenging to apply traditional research methods effectively.
DePoy and Gitlin recognize that the use of big data often requires different tools, techniques, and frameworks for analysis. It includes sophisticated statistical methods, machine learning, and data mining, which go beyond what is typically used in more conventional qualitative or quantitative research. Because of these differences, big data is considered to be its own tradition, and researchers need to approach it with specific strategies tailored to its unique demands.
In short, big data is not just another tool in existing research methodologies but a separate and evolving tradition that has its own set of challenges and requirements. It demands new ethical considerations, analytical techniques, and ways of interpreting data that are not bound by the conventions of earlier research traditions.