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We demonstrate how structural equation models can extend multivariate G-theory designs to allow for congeneric relationships among scores. Results revealed that generalizability coefficients and subscale added-value indices for persons × items × occasions congeneric designs consistently exceeded those for traditional multivariate generalizability theory designs at both composite and subscale levels.