What is triangulation in research?
An example of an AI chatbot conversation about triangulation in research methods.
What is triangulation in research?
Triangulation in research refers to the use of multiple methods or data sources to enhance the credibility of findings.
Why is triangulation important in qualitative research?
It's important because it helps to validate results, reduce bias, and provide a more comprehensive understanding of the research topic.
Can you give me an example of triangulation in a study?
Sure! For instance, a study on educational outcomes might use surveys, interviews, and classroom observations to gather data.
What are the different types of triangulation?
The main types include data triangulation, investigator triangulation, theory triangulation, and methodological triangulation.
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