Data Validity

English: A measure is valid to the degree that it represents what you are trying to measure. The validity of a measuring process can be measured as representing what you’re trying to measure in some aggregate, e.g. on average (Gelman, Hill, and Vehtari 2020).

References

Gelman, Andrew, Jennifer Hill, and Aki Vehtari. 2020. Regression and Other Stories. First. Cambridge University Press. https://doi.org/10.1017/9781139161879.