Introduction
The first step of the
data analytics lifecycle is to identify the problem. For this assignment, you,
along with your project group, will identify a specific issue to look at for
your course project and plan how you will use data to examine it.
Scenario
Return to the scenario of
the Homeless Teen Program run by the Riverbend City Community Action Center
(CAC), presented in the course project overview. The main goal of the Homeless
Teen Program is to help the teens find stable and secure housing (whether that
is with their families or in the child welfare system). The program is
successful: 83 percent of the teens have stable housing in less than one
year of coming to the program. However, the director and staff of the Homeless
Teen Program feel their success lies in their approach of addressing the
underlying problems that led to homelessness in the first place, especially
family problems.
The family intervention
programs are expensive, so it is important to justify their expense (while they
consider expanding them). The CAC would like the teens who cannot be reunited
with their families to have their own residential program rather than rely on
Riverbend City’s overburdened foster care system, but that is also expensive.
There is no question the CAC would like to receive another grant from Helping
Hands, so they want to demonstrate that their focus on family intervention is
important, but also consider funding their own residence for homeless teens.
This means they need to provide more information than just establishing the
percentage of teens who find stable housing.
The Homeless Teen Program
staff has collected various types of data on the teen clients. However, this is the data we agreed on as a group.
·
The outcome of the
services offered after six months (such as rated levels of family conflict
and scores on mental health evaluations) as well as housing status (for
example, stable with family, stable with child welfare, or homeless).
Note that this data is
provided within the Riverbend City multimedia presentation.
Problem and Data Selection
The main problem that the
Homeless Teen Program is addressing is homelessness, but your focus should
be more specific. For example, you might choose to look at housing rates
for a specific group of teens (such as LGBT teens, teens who have been
victimized in sex trafficking, or suicidal teens) or look at the housing rates
for teens who participate in specific programs (for example, family reunification
programs, mental health treatment programs, or substance abuse treatment
programs).
With your group,
select one of the problem areas listed below to examine for
your course project: WE have selected option 3 as a group.
3.
There is concern that
LGBT teens are more likely to be rejected by their families and kicked out of
their homes compared to other groups of teens. Is there a difference between
LGBT teens and other teens in terms of reported levels of family conflict after
participating in the family treatment program?
After you have identified
a question (a problem), identify the various type of data the staff has
collected that you will use to learn more about the problem . You need at least one type of qualitative data and one
type of quantitative data.
Please see in highlight
what the group and I have agreed on which is #3.
Also, the qualitative
data we agreed on is Orientation. The Quantitative Data we agreed on is the
pre-FC and post FC chart that is attached. In reviewing the chart you would see
the rating going up and down.
Instructions
After you and your group
have identified the problem and the data that you will utilize, each of you
must write your assignment individually. The assignment should be presented
in three sections:
1. Identification
of the Problem:
o Identify
your problem, explain it, and provide a rationale for why it is important to
learn more about, in light of the scenario. Why would Helping Hands want to
know about this issue?
o Describe
how the data analytics lifecycle can be applied to the selected problem.
2. Identification
of Data Needed:
o Identify
the quantitative data. What variables will you use? Why are those variables
appropriate? What type of statistical analysis will you conduct, and why is
that analysis appropriate?
o Identify
the qualitative data. Why is that data appropriate? Explain how you will
conduct a content analysis and why a content analysis is appropriate.
3. Group
Collaboration:
o Briefly
describe your group collaboration process and how it contributed to your
understanding of the problem as well as the data needed. For this questions, you can explained
that it was difficult to complete this paper in a group as not everyone signed
onto the zoom to collaborate.
This assignment should be
2–4 pages long. It should be well organized, free of mechanical writing errors,
and in APA format.
This must be plagiarism free, plain english, use in-text citation, and the text book used is
Baker, P., & Gourley, B. (2015). Data divination: Big data strategies. Cengage Learning.
