The phrase "augment validity" is correct and usable in written English.
It can be used in contexts where you want to express the idea of enhancing or improving the credibility or reliability of something, such as research findings or arguments.
Example: "To strengthen our research conclusions, we need to find ways to augment validity through additional data collection methods."
Alternatives: "enhance credibility" or "improve reliability."
Besides augmenting validity of comparisons between available treatments through including indirect evidence, network meta-analyses allow for a formal assessment of evidence inconsistencies.
This paper summarises and illustrates a framework for judging and augmenting external validity, emphasising its application to treatment trials in otitis media with effusion (OME) so as to permit stronger inferences in the future.
Randomized controlled trials (RCTs) have been encouraged in population health, in part to augment the internal validity of studies (3, 4) and, indeed, excellent cluster RCTs are increasingly being conducted (e.g. 5).
One suggestion for MEDLINE and MANTIS database vendors would be to augment their controlled vocabulary to specifically include terms for validity, e.g., validity and accuracy, since these are terms preferred by authors and investigators.
Database vendors might consider applying Reproducibility of Results to reliability only and augmenting their thesaurus with commonly used validity terms.
Augmenting the infoset by adding its own properties that signify validity and type information.
In order to verify the validity of sectional finite element formulation based on the bending augmented membrane theory, the plane strain stretch/draw forming processes of a square cup test were simulated and simulation results are compared with experimental measurements.
Similarly, the validity of retrospectively recalled number of lifetime mood episodes was augmented by assessing it as a categorical variable (<9 lifetime mood episodes), rather than as a continuous variable.
We offer an exposition of Boneh, Boyen, and Goh's "uber-assumption" family for analyzing the validity and strength of pairing assumptions in the generic-group model, and augment the original BBG framework with a few simple but useful extensions.
These new studies do not undermine the validity of the magisterial past research on hot hands, but expand and augment it, Dr. Yaari and the other authors say, adding even more human complexity.
