Analyzing Data With R assignment
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1/13/21 Assignment 1 ID ME SD.docx P a g e | 1
Research Assignment 1
The first week you will submit an outline based on the instructions. The following week you will do
this assignment, submitting a paper and an R script file. Look at the examples in the Documenting
Research Guide before reading through these instructions. Ask questions, if needed!
Problem
The data consolidated by the Centers for Disease Control and Prevention (CDC) is used to
determine the most vulnerable areas should a disaster occur. In a perfect world, vulnerability
indicators would represent the people correctly. Currently, this far-from-perfect method is the best
that has been developed. There may be indicators that are not adequately predictive of social
vulnerability. Understanding the influence of these attributes can improve the assessment,
improving the ability to predict the impact of disasters on individual communities.
Question 1
What relationships exist in the states of Idaho, Maine, and South Dakota between the
socioeconomic fields, household composition and disability fields, and the estimated number of
minorities, the estimated number of homes with no vehicle, and the tract population, and the social
vulnerability index when using the data consolidated by the CDC (n.d.)?
Question 2
What indicators in the states of Idaho, Maine, and South Dakota between the socioeconomic
fields, household composition and disability fields, and the estimated number of minorities, the
estimated number of homes with no vehicle, and tract population have the most influence in
predicting social vulnerability when using the data consolidated by the CDC (n.d.)?
Data
• The secondary data reference is below, formatted per APA 7. Update the retrieval date to the date
you retrieved it:
Centers for Disease Control and Prevention. (n.d.). CDC social vulnerability index 2018 US [Data set and
code book]. Agency for Toxic Substances and Disease Registry. Geospatial Research, Analysis, and
Services Program. Retrieved January 4, 2021, from
https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html
• The data directly:
https://svi.cdc.gov/Documents/Data/2018_SVI_Data/CSV/SVI2018_US.csv
• The data dictionary or code book directly:
https://svi.cdc.gov/Documents/Data/2018_SVI_Data/SVI2018Documentation.pdf
Collecting data
• Create a subset of the data to represent the secondary data sample for this analysis.
• Don’t include observations with a total population of zero in your analysis. Think about it; if there’s
no population, how can risk to the community be assigned?
• There are 13 variables used in this analysis. When you write about the secondary data sample,
you only need to discuss the data you used. If observations (rows of data) were excluded, that
needs to be discussed. Cite and reference sources that you use to identify variable content.
• Do not use more than one field for each variable. Other than the field that represents the SVI, all
of your variables are prefixed with E_. For example, there are multiple fields with “PCI” for per
capita income, but only one E_PCI.
• Don’t copy and paste the following data sample information into your outline. It’s insufficient.
Do not
modify the
data outside
of R.
1/13/21 Assignment 1 ID ME SD.docx P a g e | 2
• How do you know what data to use? It’s in the research question.
o socioeconomic fields
estimated quantities of:
o people living below the poverty level
o people unemployed
o people without a high school diploma
tract average per capita income
o household composition and disability fields, also estimated quantities of:
people age 65 and over
people age 17 and under
disabled
single-parent homes with children under 18
o estimated number of minorities
o estimated number of homes with no vehicle
o estimated tract population
o the SVI index is RPL_THEMES, in column 99
o the state
Data cleaning
• It is unlikely that any action taken in cleaning is documented in your research paper. If these steps
were documented in a paper, they would be a part of the procedures section. I don’t require you to
write the procedures section because you submit an R file.
• When changing an object or part of an object, validate every change, and comment in your code.
• There is a code representing missing values; use the data dictionary to learn more! Reassign the
values as NA, if any observations in your sample data include this code.
Analysis
• Conduct two types of analysis: visual analysis to identify relationships and a random forest model
to identify the indicators’ influence in predicting the SVI.
• Connect the relationships and influence measures aforementioned to the research questions when
you document your Analysis Methods and Limitations section.
When writing your paper
Results section and the discussion section
• During the visual analysis, only present meaningful visuals in your paper. Provide your
interpretations of any results you present.
Using the first research question, the variables are in red:
What relationships exist in the states of
New Hampshire, North Dakota, and South Dakota
between the
socioeconomic fields,
household composition and disability fields, and
the estimated number of minorities,
the estimated number of homes with no vehicle,
and the
tract population, and the
social vulnerability index
when using the data consolidated by the CDC (n.d.)?
Use the data dictionary to uncover which variables in the data align with these
variables. Look at the example information from the data dictionary in the two
partial images to the right.
Modified from CDC (n.d., p. 5)
Modified from CDC (n.d., p. 6)
1/13/21 Assignment 1 ID ME SD.docx P a g e | 3
• Ensure you establish that the model is valid and reliable in your documentation before discussing
the influence the different fields have on predicting the outcome.
• Do not speculate. Use evidence. When documenting the results, consider the generalizability.
• Your interpretations of your results are crucial to demonstrating your understanding.
Future recommendations section
• Include recommendations for future analysis, based on your research in R.
• An example future research recommendation may look something like this:
An opportunity for future research is exploration modeling to determine what other
variables, when eliminated, have little or no impact when predicting the SVI based on the
supporting characteristics in the data.
Extra credit challenge
Create a random forest model for each state that is assigned. You will need to write a research question
that aligns with the problem statement, providing your objective of these state-level models. What is it
that you are looking for? The objective can be the same as the second research question in these
instructions or one you develop independently. Use the criteria found in Unit 1 Part 1 to make sure your
research question is sound. Want to try the challenge, but need help? Please email me.
Required files to submit for this assignment
• The week you initially receive these instructions, the objective is to complete an outline. Use these
instructions, the data, the data dictionary, and the Documenting Research Guide to complete the
outline.
o Submit as an MS Word document file type
The formatting is not crucial.
HINT Most of the outline is copied from the instructions. Focus on what you write.
Don’t forget to cite and reference any sources you use to complete the outline.
• The second week you receive these instructions, you will complete this assignment and submit:
o Submit as an MS Word document file type
Adhere to the standards of APA 7
Use the Student Paper Template in the Useful Documents folder in Blackboard; it’s
preformatted per APA 7.
Length 3-5 pages and at least 1000 words in the body of the document; count
excludes the cover page, tables, or figures, or the reference page.
o R Script; the final version in a .R file type
• See the Documenting Research Guide for more details on what is required.
• Questions? Please email me. Stuck on the programming or paper? Please email me.
Important Information
• You will receive an error notification when you submit because of the .R file type. Check your
email for the submission confirmation email automatically sent from Blackboard.
• Ensure that every reference in the reference list is also cited in the text.
• Do not forget to cite and reference the source of the data.
• Use the problem statement and research questions verbatim as in these instructions.
• If your submission adheres to a version of this assignment not available to you in Blackboard, you
will earn a zero and be documented as demonstrating academic dishonesty.
• This is an individual assignment. Do not share your work and don’t accept others’ work.
• Take a look at the rubric to get the best possible grade.
1/13/21 Assignment 1 ID ME SD.docx P a g e | 4
References
Centers for Disease Control and Prevention. (n.d.). CDC social vulnerability index 2018 US
[Data set and code book]. Agency for Toxic Substances and Disease Registry. Geospatial
Research, Analysis, and Services Program. Retrieved January 4, 2021, from
https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html
Flanagan, B. E., Gregory, E. W., Hallisey, E. J., Heitgerd, J. L., and Lewis, B. (2011). A social
vulnerability index for disaster management. Journal of Homeland Security and
Emergency Management, 8(1), 1-22. https://doi.org/10.2202/1547-7355.1792
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