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Assessment of practices and attitudes of undergraduate students toward family violence in the University of Baghdad
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Objectives: The aim of this study was to assess undergraduate student's practices and attitudes toward family violence in the University of Baghdad.

Methods: This was a descriptive study on non-probability (purposive) sample of 100 undergraduate students from different colleges at the University of Baghdad from November 15, 2022 to May 20, 2023. A validated questionnaire was prepared with 43 questions, which consisted of three parts: eight items related to students’ demographic data, 13 items related to students’ attitudes, and 22 items related to students’ practices.

Results: Positive attitudes toward family violence were used by the parents, and with respect to the total relative sufficiency (86.18%), the attitude level was moderate. Undergraduate students reported low levels of family violence practices from their parents with respect to the total mean scores (1.43) and the relative sufficiency (47.5). There was a significant relationship between students’ practices and their parents’ perception of family violence (p < 0.05).

Conclusion: This study concludes that students in the University of Baghdad had positive, moderate attitudes toward parents’ violence. They also experienced a low level of practice toward family violence, as well as parents’ level of education has an impact on students’ violence practices.

Recommendations: There is a need to raise community awareness about the consequences of family violence and mistreatment of the family members through mass media, and to establish family violence counseling centers for students.

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Thu Dec 01 2011
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Dynamic algorithm (DRBLTS) and potentially weighted (WBP) to estimate hippocampal regression parameters using a techniqueBootstrap (comparative study)
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Bootstrap is one of an important re-sampling technique which has given the attention of  researches recently. The presence of outliers in the original data set may cause serious problem to the classical bootstrap when the percentage of outliers are higher than the original one. Many methods are proposed to overcome this problem such  Dynamic Robust Bootstrap for LTS (DRBLTS) and Weighted Bootstrap with Probability (WBP). This paper try to show the accuracy of parameters estimation by comparison the results of both methods. The bias , MSE and RMSE are considered. The criterion of the accuracy is based on the RMSE value since the method that provide us RMSE value smaller than other is con

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Publication Date
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