Studying a phenomenon in different settings and at different points of time is an example of

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Data triangulation involves using multiple sources, methods, or settings to gather and analyze data in order to increase the credibility and validity of the findings. This can include studying a phenomenon in different settings and at different points in time, as well as collecting data from multiple sources such as interviews, observations, and documents. Investigator triangulation involves having multiple researchers collect and analyze data to reduce bias and increase the reliability of the findings. Theory triangulation involves using multiple theoretical perspectives to analyze data and increase the comprehensiveness of the analysis. Interview triangulation involves conducting multiple interviews with the same participant or multiple participants in order to compare and validate the data.

Studying a Phenomenon in Different Settings and at Different Points