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Path analysis of adolescent risk factors associated with online sexual advances and offline, in-person encounters.aP <.05. Standardized β-weights are shown. Age, minority status, family income level, and level of Internet usage were covaried. Correlations among exogenous variable were freely estimated and are reported in Table 1. df indicates degrees of freedom; GFI, goodness-of-fit index; RMSR, root mean squared residual. Path analysis was conducted using LISREL 8.54.
