The current study proposed several variants of simple-structure multidimensional item response theory equating procedures. Four distinct sets of data were used to demonstrate feasibility of proposed equating methods for two different equating designs: a random groups design and a common-item nonequivalent groups design. Findings indicated some notable differences between the multidimensional and unidimensional approaches when data exhibited evidence for multidimensionality. In addition, some of the proposed methods were successful in providing equating results for both section-level and composite-level scores, which has not been achieved by most of the existing methodologies. The traditional method of using a set of quadrature points and weights for equating turned out to be computationally intensive, particularly for the data with higher dimensions. The study suggested an alternative way of using the Monte-Carlo approach for such data. This study also proposed a simple-structure true-score equating procedure that does not rely on a multivariate observed-score distribution.