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Testing programs are often called upon to use their tests for multiple purposes. Alternate uses may include administering the test to populations outside of the target population. This study shows how the evaluation of two concepts—differential item functioning (DIF) and equating invariance—can indicate the appropriateness of expanded test use, using the empirical data from an international large-scale test. This study indicates how statistical analyses can clarify cases in which expanded test use is warranted and cases in which it is probably not. This study will offer some practical guidelines or a remedy that can be used not only to enhance the level of subpopulation invariance of the test but also to assemble properly new editions of the test.