What are the limitations of triangulation in research?
An example of an AI chatbot conversation about the limitations of triangulation in research methods.
What are the limitations of triangulation in research?
Triangulation can enhance validity, but it has limitations like complexity, time consumption, and potential bias.
Can you explain how complexity affects triangulation?
Complexity arises from integrating multiple data sources, which can lead to difficulties in analysis and interpretation.
What about the time consumption aspect?
Time consumption is significant as gathering and analyzing diverse data sets requires more resources and effort.
Are there any biases that can occur with triangulation?
Yes, biases can occur if the chosen methods or data sources are not appropriately aligned or if the researcher has preconceived notions.
How can researchers mitigate these limitations?
Researchers can mitigate limitations by carefully selecting methods, ensuring data alignment, and being aware of their biases.
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