Human Resource Management 5316 Unit 8 Assignment. Recommendations

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Problem Identification and Model Planning

Tierainie C. Johnson

Capella University

May 7, 2023

Dr. Morgan McAfee

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The problem identified is that the relationship between reported levels of family tension

before and after participating in the Homeless Teen Program is not adequately comprehended.

The rationale for studying this problem is that the program strived to address the underlying

issues that led to homelessness in the first place. The program specifically seeks to mitigate teen

homeless causations such as family problems. Family intervention programs are expensive, and

the CAC wants to justify their expense while also considering funding their residence for

homeless teens. Demonstrating the effectiveness of family intervention programs will enable

them to receive another grant from Helping Hands. Therefore, understanding the relationship

between family tension and family intervention program effectiveness is crucial for the CAC's

funding and expansion plans.

Helping Hands would be interested in knowing about the relationship between reported

levels of family tension before and after the application of the intervention. First, the

organization would want to comprehend if their investment in the program is making a

meaningful impact. On comprehension of the program's effectiveness, the organization would

have the liberty and capacity to make informed decisions about future funding opportunities. The

organization would also be benefitted from the knowledge of the issue for them to plan for future

replication of the intervention program in other communities in a similar demographic.

Therefore, recognizing factors contributing to the success of the intervention would facilitate the

organization to disseminate best practices in future homeless intervention endeavors.

The analytics lifecycle is a series of stages that guide data use to solve a business problem.

The method can facilitate the comprehension of the state of reported levels of family tension

before and after participation in the teen homeless intervention program. The analytical lifecycle

can be applied to the problem through a cycle of stages. CAC could delegate a team to research,

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learn and comprehend the issue to develop appropriate solutions. The team would first have to

understand the problem through the recognition of the various elements adequately. Secondly,

the data preparation would be done by the IT systems and management department. The data

needed would include family tension levels before and after the involvement in the teenage

homeless program. Specifically, the data would consist of family feuds, domestic violence,

sexual abuse, and struggles, among other tensions.

Data exploration would be conducted by obtaining detailed descriptive statistics and using

data visualization techniques to comprehend the issue's insides fully. Transform and select would

involve data cleaning, normalization, or aggregation of the collected statistics. It will include

accessing the data for discrepancies, among other issues, that may help reflect the reliability of

the data. The fifth stage of the analytics lifecycle involves analytical modeling. The IT

department in CAC may use a paired t-test to determine whether there is a statistically significant

difference in reported levels of family tension before and after participating in the family

intervention program. The next process would involve using statistical techniques to test the

models and ensure they are robust. The models would then be actualized by creating reports or

dashboards summarizing the findings and providing insights. The final stage of the process

would involve evaluating and monitoring the results over time to ensure they remain valid and

relevant. The step may involve ongoing data collection and analysis to identify any changes or

trends in the data.

Comprehension of the reported levels of family tension before and after teenagers

participate in the homeless teen program by CAC requires adequate quantitative data. Evident

variables to be used include the independent and dependent variables. The independent variables

would consist of the age of the teenagers, sex, educational level, and health condition, among

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other appropriate information. On the other hand, dependent variables will include family

problems before and after enrollment of teens in the intervention program, criminal or

incarceration history, and foster care history, among others. The independent variables are

appropriate because they provide a background on each teen enrolled in the homeless program.

However, the factors are not directly linked to the occurrence of the issue stated. On the other

hand, dependent variables are useful in identifying how one problem leads to another.

The appropriate statistical analysis to be conducted is a paired t-test. The test will

determine the difference between the reported levels of family tension before and after

participating in the family intervention program. The paired t-test is appropriate because it

facilitates the comparison of the means of the two related data groups. Additionally, the paired t-

test is well-suited for analyzing normally distributed data with equal variances, which is likely to

be the case for our data.

Qualitative data will be used to complement our quantitative data. The data will be

essential in providing more in-depth insights into the experiences of the teens participating in the

family intervention program. The information to be utilized will be data collected by case

managers. Specifically, it will include information on family backgrounds, academic problems,

legal issues, and mental health problems experienced by teens.

The qualitative data is appropriate because it can help us understand the unique

circumstances of each teen. It can also help in understanding how these circumstances may have

impacted their reported levels of family tension before and after participating in the program. By

analyzing the qualitative data, they can identify any emerging patterns or themes. Specifically,

the patterns can be explored on specific types of family conflict or mental health issues that are

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more common among the teens who reported higher levels of family tension after participating in

the program.

Content analysis will be used in the study of the qualitative data. The method involves

identifying and categorizing specific themes or patterns within the data. The first crucial step in

actualizing the paradigm will be to review the data and identify common themes and designs.

Common ways may involve family conflict, mental health issues, or involvement in criminal

activities and drug use. The next step in the methodology will include developing a coding

scheme to categorize the data into these themes systematically. The approach will allow the

identification of commonalities in the data. There will then be a comparison of the information to

gain a more comprehensive understanding of the relationship between reported family tension

levels and program participation. The method is appropriate in the study and resulting solution of

the problem faced by CAC because it will facilitate the analysis of information in a structured

and systematic way allowing for accurate synthesis of patterns.

The group collaboration process was simple, integrative, and collaborative. The process was

started by discussing the problem statement provided in the scenario. We also brainstormed on

potential questions that could be asked using the available data. The discussion on the merits of

each question then followed the identification of the possible questions. We then decided to

focus on the relationship between reported levels of family tension before and after participating

in the family intervention program. The next phase in the group collaboration was identifying the

appropriate quantitative and qualitative data required to address the identified problem. We also

discussed content analysis's strengths and weaknesses in analyzing the qualitative data.

Our collaboration process was valuable. The collaboration allowed each contributor to share

their views and opinions. The involvement facilitated the process to be intuitive in understanding

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the identified challenge and the required strategies and information to address the problem. The

identification of potential challenges and limitations of the approach was further made easier by

the group collaboration process. In general, working together as a group assisted us in

developing a strategy that was more exhaustive and reliable in its analysis of the issue at hand.