Statistics for Social Science

STATISTICS FOR SOCIAL SCIENCE 4

Family violence – the predictor variables are alcohol misuse,stress and unemployment. The article “The relation of familyviolence, employment status, welfare benefits and alcohol drinking inthe United States” discusses how the employment status and drinkingalcohol among other aspects result in physical assault during amarriage disagreement. The authors identify family violence as asocial issue, which has been in existence for decades. The articleuses alcohol misuse as one of its variable, which is also one of thepredictor variables selected for the social problem. The variable iseffective in predicting family violence because it depicts thatindividuals that take alcohol are more likely to react violentlyduring a marital disagreement.

Bullying – predictor variables are school environment, academicperformance, age, socio-economic status and bully’s familyinteraction. In the article “Predictors of bullying andvictimization in childhood and adolescence”, the authors aim atdetermining what factors can be employed in predicting bullying aswell as victimization. Further, the article notes that bullying is amajor challenge, especially for victims, who suffer from prolongedpsychological challenges. The authors note that the percentage ofchildren or adolescents that are either bullies or victims is high.Academic performance is a major predictor of bullying, which has beendiscussed in the article. It accurately predicts bullying by notingthat students that perform poorly in academics are more likely tobecome bullies. This is because they have a reduced school attachmentwhen compared to their victims.

Child abuse – predictor variables are parent-child relationship,age of the child and family neighborhood. The article “Predictingchild abuse potential: An empirical investigation of two theoreticalframeworks” use hypothetical risk models in foretelling thepossibility that a child may become a victim of child abuse. Notably,thousands of children are victims of abuse. The statistics arealarming, bearing in mind that child abuse frequently leads tolasting emotional, physical as well as cognitive challenges. Thepredictor variable, age of the child, is one of the variablesevaluated in the article. The predictor contributes to the study ofchild abuse because it demonstrates that children between 3 to 8years are at a higher risk of becoming child abuse victims.

References

Begle, A. M., Dumas, J. E &amp Hanson, R. F. (2010). Predictingchild abuse potential: An empirical investigation of two theoreticalframeworks. Journal of Clinical Child Adolescence Psychology,39(2), 208-219.

Cook, C. R., Williams, K. R., Guerra, N. G., Kim, T. E &amp Sadek,S. (2010). Predictors of bullying and victimization in childhood andadolescence: A meta-analytic investigation. School PsychologyQuarterly, 25(2), 65-83.

Rodriguez, E., Lasch, K. E., Chandra, P &amp Lee, J. (2001). Therelation of family violence, employment status, welfare benefits,and alcohol drinking in the United States. Western Journal ofMedicine, 174(5), 317-323.