Nowadays, there are many families that have multiple children in the United States; this situation has become a major concern in many states because of the need for child support (Annette, 2003). The goal of conducting this quantitative research is to determine the factors that might contribute to improving the quality of lives of Americans and provide critical ideas on child-support policies. Also, this study will provide suggestions to the public policy on how to help low-income families support their children’s education and healthcare programs. This research aims to improve the understanding of the importance of helping low-income families and children to reach their healthcare and education goals, as well as provide ideas for the States in order to reduce family burden. The researcher will identify research questions and explain the importance of providing economic security for parents who are living in difficulties because of raising multiple children. This study shows that family income will have different results when it comes to cultivating children depending on parents’ races (Annette, 2003). Additionally, the author examines income levels among white people, Black or African American, American Indian or Alaskan Native, Asian and Pacific Islander American, and Hispanic American. The quantitative statistical analyses will provide ideas for the government agencies to find solutions and to help low-income families raising their children.
Keywords: ANOVA, Low-income family, T-Test, quantitative correlation design
