Triangulation in qualitative research is defined as

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Multiple Choice

Triangulation in qualitative research is defined as

Explanation:
Triangulation in qualitative research is about strengthening credibility by approaching the same question from multiple angles and cross-checking findings across sources or methods. By collecting data from different sources (like interviews, observations, and documents) or using different data collection approaches and then looking for convergence in the results, researchers reduce the chance that findings are biased or incomplete and gain a more robust understanding of the phenomenon. There are other forms, such as interpreting data through multiple theoretical lenses or having several researchers analyze the data, but the practical definition most commonly tested is using multiple data sources or methods to cross-check findings. A triangular sampling frame or simply replication do not capture this cross-checking across angles. So, using multiple data sources or methods to cross-check findings is the right definition.

Triangulation in qualitative research is about strengthening credibility by approaching the same question from multiple angles and cross-checking findings across sources or methods. By collecting data from different sources (like interviews, observations, and documents) or using different data collection approaches and then looking for convergence in the results, researchers reduce the chance that findings are biased or incomplete and gain a more robust understanding of the phenomenon.

There are other forms, such as interpreting data through multiple theoretical lenses or having several researchers analyze the data, but the practical definition most commonly tested is using multiple data sources or methods to cross-check findings. A triangular sampling frame or simply replication do not capture this cross-checking across angles.

So, using multiple data sources or methods to cross-check findings is the right definition.

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