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Knowledge isn't just important for test scores.
However, investigating test-takers' perception of the test construct is considered important for test developers if they wish to achieve intended washback on the content of English learning.
As such, it is important for test development research to be explicit about the similarities and differences in iterative "versions" of assays.
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We think that'll be very important for testing hypotheses of neural coding.
Wafer probing technique is important for testing integrated circuit devices.
Knowledge of spin is important for testing models of black hole formation, relativistic jets, GRBs, and more.
Rigorous implementation research is important for testing strategies to improve the delivery of effective osteoarthritis (OA) interventions.
Critically, it also makes clear the distinction between data-independent confirmatory research that is important for testing hypotheses, and data-contingent exploratory research that is important for generating hypotheses.
It's a research database, so the forecasts become available 3 weeks behind real time, but re-forecasts over past years are also included which is very important for testing the forecasts.
The model could prove important for testing drugs and vaccines.
Issue (f) is especially important for tests with several cores (e.g. 6, 8, or 12).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com