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bly distinguished between early and delayed disclosers (2 2 (3) = 23.09, p <0.000). There were no significant interac- tions between the predictors. Nagelkerke's R2 of 10.5% suggests only a modest association between the predic- tors and delayed disclosure, although the model did show an adequate fit to th
Page: EFTA00024215 →preventing the onset of STDs and unwanted pregnancy (Linden, 2011), but also impede the forensic investigation and apprehension of the assailant (Lacy & Stark, 2013). Three variables were identified that successfully pre- dicted delayed disclosure: age category 12-17 years, penetration, and the assailant
Page: EFTA00024215 →iably distinguished between early and delayed disclosers (g2 (3) =23.09. p <0.000). There were no significant interac- tions between the predictors. Nagelkerke's R2 of 10.5% suggests only a modest association between the predic- tors and delayed disclosure. although the model did show an adequate fit to th
preventing the onset of STDs and unwanted pregnancy (Linden. 2011). but also impede the forensic investigation and apprehension of the assailant (Lacy & Stark. 2013). Three variables were identified that successfully pre- dicted delayed disclosure: age category 12-17 years. penetration. and the assailant
liably distinguished between early and delayed disclosers (x2 (3) =2309, p <0.000). There were no significant interac- tions between the predictors. Nagelkerke's R2 of 10.5% suggests only a modest association between the predic- tors and delayed disclosure, although the model did show an adequate fit to th
preventing the onset of STDs and unwanted pregnancy (Linden, 2011), but also impede the forensic investigation and apprehension of the assailant (Lacy & Stark, 2013). Three variables were identified that successfully pre- dicted delayed disclosure: age category 12-17 years, penetration, and the assailant
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