How researchers handle the interpretation of their data given non-equivalence depends on their experience and biases and on the nature of the data and the findings.

Question

Quizplus · Accepted Answer

Researchers' interpretation of data can be influenced by their prior experience, inherent biases, the characteristics of the data itself, and the nature of the findings, which can affect how they perceive and analyze non-equivalence in their research.

How Researchers Handle the Interpretation of Their Data Given Non-Equivalence