16 22 dating

OBJECTIVES: With our study we aimed to (1) understand what factors uniquely conferred risk for physical and sexual forms of teen dating violence (TDV) perpetration and (2) create a screening algorithm to quantify perpetration risk on the basis of these factors.

METHODS: A total of 1031 diverse public high school students living in Southeast Texas participated in our study (56% female; 29% African American, 28% white, and 31% Hispanic).

Formal tests of incremental validity can help prioritize the most salient risk factors for TDV perpetration.

Traditionally, receiver operating characteristic (ROC) approaches are preferred to solely using regression-based techniques to determine the appropriateness of a screening protocol.

An important priority for researchers with this agenda is to identify individuals who are at greatest risk to perpetrate TDV.

An impressive response by the research community to these initiatives has resulted in the identification of 53 correlated liabilities for prospective TDV perpetration.

Retention rates from wave 1 were the following: wave 2: 92.5%; wave 3: 85.8%; wave 4: 74.5%; wave 5: 67.0%; and wave 6: 72.7%.However, area under the curve (AUC) statistics may not adequately capture the incremental impact of additional indicators.Instead, reclassification analyses may be a more sensitive approach for determining whether a novel indicator should be included within a multi-indicator screening approach.Using a panel study design and translational analytic approach, we identified which factors conferred the greatest risk for prospective physical and sexual TDV perpetration.With our proposed algorithms, we offer the first empirically based assessment tools for TDV perpetration.

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