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Interpersonal theory posits that successful social interactions are characterized by complementarity: a match in the interpersonal warmth and reciprocity in the interpersonal dominance expressed by interaction partners. Social encounters with high interpersonal complementarity are linked to better affect. Despite complementarity by definition being a two-dimensional construct, researchers often model warmth and dominance separately. Because interpersonal theory underscores the importance of both dimensions in understanding social interactions, it is important that methods of combining the two dimensions are developed for stronger tests of the theory. The present study presents two possible methods of modeling interpersonal complementarity across three separate datasets. Results are compared with the traditional approach of modeling warmth and dominance separately. Discrepancies and parallels between approaches are discussed, as well as the theoretical and statistical value of modeling warmth and dominance together.