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Substantial uncertainties surround the sensitivities and specificities of diagnostic techniques for urinary schistosomiasis. We used Latent Class (LC) modeling to address this problem. In this study 220 adults in three villages northwest of Accra in Ghana were examined using five Schistosoma haematobium diagnostic measures: microscopic examination of urine for detection of S. haematobium eggs, dipsticks for detection of haematuria, tests for circulating antigens, serological antibody tests and ultrasound scans of the urinary system. Testing of the LC model indicated non-invariance of the performance of the diagnostic tests across different age groups while measurement invariance held for males and females and for the three villages. We therefore recommend the use of LC models for comparison between, and the identification of, the most accurate schistosomiasis diagnostic tests. Furthermore, microscopy and …