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Model Building

Statistical and content analyses

Identification of the problem

The problem that our group identified to use for this assignment is the difference in the levels of family conflict for those who received legal support compared to those who didn't. this has been a major challenge in several communities that have led to children being homeless. This is because; teens who are involved in the juvenile systems are more probably than their fellows to encounter family conflicts and negative life outcomes. Through this, these youths are at a greater risk for mental and emotional issues since they are subjected to these settings.

Quantitative analyses

Data and variable type

Both data and variable types were categorical. This is because; the collection of data was divided into groups. The data of juvenile teens was dived into two; the juvenile who received government support and the ones who didn't receive government support. These data were categorized into two to determine the distinction between the two data. (Goss-Sampson, 2019) On the other hand; the type of variable that this assignment used was categorical; the population was divided into groups which were in terms of race, sex age group, and educational level.

Type of statistical analysis that was used

The statistical analysis that we employed was statistical interference. This is the procedure through which implications about a population are made founded on certain data premeditated from a sample of data drawn from that people. This statistical analysis allowed us to test the hypothesis and we were in a pole position to conclude the data. We examined the entire data of the population, we applied the results to the group as a whole. We combined the results of the two groups of teens who have gone through the juvenile system. These implied both groups; the ones who were supported by the government and the ones who were not supported by the government. (Marees, et al. 2019)

Results

Out of the two groups; the one who was supported by the government after passing through the juvenile system; 20 percent said they lived a good life, and 60 percent said they were able to manage the conflicts between them and their family. They were also able to be accepted back into the community while only 20 percent said they faced the challenges of being homeless. On the other hand, the group of teens who passed through the juvenile system were not supported by the government. There was a high percentage of them being homeless, which was represented by the 60percent, 20 percent experienced emotional and mental health issues while 20 percent experienced rejection from their families.

Teens supported by the government

Groups

Percentage (%)

Lived a healthy life

20

Able to manage conflicts in their families

60

Accepted back in the community

20

Total

100

Teens who were not supported by the government

Groups

Percentage (%)

Challenges of homeless

60

Emotional and mental health issues

20

Rejection from their families

20

Total

100

Significance of testing

The significance of these testing was to approximation the possibility that a association observed in the information happened only by chance, the possibility that the variables were unconnected in the population. This also helped to filter out uncompromising hypotheses. Additionally, the significance of this testing helped to establish a mutual yardstick that was assumed by greater many individuals, and they communicated vital data about the research project. (Mrkvička, et al. 2021)

A possible implication of the findings

Homelessness and family conflicts have been major issues that the community faces every day. This can be triggered by the aspects of children going to the juvenile system. When a child goes through a juvenile system, back in society, a child is seen as a criminal. This is a huge call for the government to try and support these teens when they are through their juvenile system. The implications of these results will be in non-governmental organizations whole trying to solve the issue within the society. Additionally, this information will be beneficial to the government in the allocation of resources. This will aid the allocation of resources in a way that there will be more resources that will be directed to the community with a high percentage of homelessness and conflicts within the families.

Content analysis

Identify the data

The data that was employed in content analysis is homelessness and conflicts in the families. These two issues have been a major challenge to the community since they drag the community behind in a way that there is the rise of issues that lead to issues such as poverty and discrimination. (Lindgren, et al. 2020)

Results of the content analysis

More than half (60 percent) of those who were supported by government services after completing the juvenile justice system reported that they were able to handle their family disputes. When they returned to society, only 20% of them indicated they had to deal with the difficulties of being homeless. When it comes to teenagers who were not supported by the government, however, the situation is rather different. 60 percent of them were homeless, 20 percent had emotional and mental health concerns, and 20 percent had been rejected by their family, according to the findings.

Themes

The themes that we employed in the content analysis include; the theme of forgiveness and acceptance. Those two themes are important in this data analysis since they offer a great opportunity for children who pass through the juvenile system either be supported or not to be accepted back into the community. Through this, there will be a reduction in family conflicts among teens and family members. The theme of

forgiveness implies that teens who go through juvenile systems should be forgiven by their community members and family members so that they will be given another chance to be able to rectify their wrongdoings and have a fresh start.

Illustrative quotation of the themes

The illustrative quotation of the theme of forgiveness is that the research found out that many teens who have passed through a juvenile system were at risk of developing emotional and mental issues. This was a result of homelessness and being rejected by the community and family members. Through this, these teens found themselves in a hard situation trying to manage their education and living in a community where they are seen as criminals. (Siraj, 2019)

A possible implication of these findings

The neighborhood has to deal with homelessness and family strife daily. Juvenile delinquency can have a role in this. Back in society, a child who has been through the juvenile justice system is viewed as a criminal. This is a strong call to action for the federal government to assist these young people as they navigate the juvenile justice system. As a result of these findings, nongovernmental organizations working to address social problems will be impacted. Additionally, the government will benefit from this knowledge when it comes to allocating funds. This will make it easier to allocate resources so that more money may go to areas where there is a high rate of homelessness and family strife.

References

Goss-Sampson, M. (2019). Statistical analysis in JASP: A guide for students.

Marees, A. T., de Kluiver, H., Stringer, S., Vorspan, F., Curis, E., Marie‐Claire, C., & Derks, E. M. (2018). A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis. International journal of methods in psychiatric research27(2), e1608.

Mrkvička, T., Roskovec, T., & Rost, M. (2021). A nonparametric graphical test of significance in functional GLM. Methodology and Computing in Applied Probability23(2), 593-612.

Lindgren, B. M., Lundman, B., & Graneheim, U. H. (2020). Abstraction and interpretation during the qualitative content analysis process. International journal of nursing studies108, 103632.

Siraj, N. B., & Fayek, A. R. (2019). Risk identification and common risks in construction: Literature review and content analysis. Journal of Construction Engineering and Management145(9), 03119004.