What process involves comparing the outputs of multiple modeling techniques to reach a conclusion?

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Multiple Choice

What process involves comparing the outputs of multiple modeling techniques to reach a conclusion?

Explanation:
Triangulation means comparing outputs of multiple modeling techniques to reach a conclusion. Different models carry different assumptions and biases, so when several independent methods point to the same finding, you gain stronger evidence than from any single approach. This cross-checking helps reduce method-specific errors and increases confidence in the inference. It’s not about iterative convergence, estimating values within known data (interpolation), or adjusting a model to match observed data (calibration); it’s about using multiple modeling perspectives to arrive at a robust conclusion.

Triangulation means comparing outputs of multiple modeling techniques to reach a conclusion. Different models carry different assumptions and biases, so when several independent methods point to the same finding, you gain stronger evidence than from any single approach. This cross-checking helps reduce method-specific errors and increases confidence in the inference. It’s not about iterative convergence, estimating values within known data (interpolation), or adjusting a model to match observed data (calibration); it’s about using multiple modeling perspectives to arrive at a robust conclusion.

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