Search

The objective of this research is to ascertain the elements that have an impact on and drive domestic violence in Saudi Arabia, a phenomenon that has a prevalence rate of around 35% among women globally. The researchers administered a survey to a sample of 550 individuals and used exploratory factor analysis (EFA) to analyze the collected data. The findings revealed three factors: a lack of familial unity, encouragement of detrimental characteristics, and economic turmoil. The authors examined the consequences of these characteristics on preventive and intervention programs and proposed suggestions for policymakers and researchers. This research enhances the existing body of knowledge on domestic violence by conducting a statistical analysis to examine the factors that lead to it and the resulting outcomes within a particular cultural setting. [ABSTRACT FROM AUTHOR]

Screening designs are used widely in industrial experimentation. They are used to identify factors with the most potential among a large number of factors. In a recent article, Jones and Nachtsheim proposed a new class of designs called definitive screening designs (DSDs), and they later showed how a few categorical factors could be introduced in those designs. In this article, we provide a new general method that can use weighing matrices to construct screening designs with some two-level qualitative factors. The methodology is illustrated through a number of small examples. The generated designs are compared to the designs in the literature and their advantages and disadvantages are discussed. [ABSTRACT FROM AUTHOR]