Comparisons between groups are common in human resource development (HRD) studies, yet many researchers neglect a crucial prerequisite step before analyzing and interpreting what group differences might mean. In essence, how can HRD scholars be confident in knowing that mean group differences are attributable to actual differences between groups as opposed to differences in how each group interprets the constructs of interest? Measurement invariance (MI) provides insight into whether a measure or construct has the same meaning between groups or over time and is an important precursor to the evaluation of group differences. While MI testing has gained some traction within HRD studies, steps to take when partial MI testing is needed have received very little attention. The purpose of this article is to encourage HRD researchers and practitioners to embrace and utilize two techniques when partial invariance (i.e., noninvariance) occurs. There are several techniques one could use during partial MI testing; however, the two showcased herein, the factor-ratio test and the list-and-delete procedure, are established, reliable, and proven within the confirmatory factor analysis frame-