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