School-based universal screening for behavioral and emotional risk can serve as a foundation for effective multi-tiered service delivery systems. The current study examines the measurement and structure of one such universal screener, the Behavioral and Emotional Screening System Student Form (BESS SF). Four models were investigated including a unidimensional model, a multidimensional model, a second-order model, and a bifactor model. This study is the first to use a bifactor model in examining the structure of the BESS SF, and further adds to the literature by using bifactor modeling with a predominantly low-income, urban, African American sample. Results indicate that the bifactor model provided the best fit. Practically, results support interpretation of the global risk score as well as the domain-specific factors.

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