QUESTION
What impact does the exclusion of the metrics that represent minorities and language limited individuals have on the predictability of the CDCs SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?
Does the CDCs SVI have key characteristics that impact the preclude potential exclusion without limiting the overall predictability of the SVI, based on the 2018 data (CDC, 2018a; CDC, 2018b)?
Data: ¢ The data and data dictionaries are online. o Center for Disease Control and Prevention. (2018a). Social Vulnerability Index [data set]. https://svi.cdc.gov/Documents/Data/2018_SVI_Data/CSV/SVI2018_US.csv o Center for Disease Control and Prevention. (2018b). Social Vulnerability Index [code book]. https://svi.cdc.gov/Documents/Data/2018_SVI_Data/SVI2018Documentation.pdf o Note: Your raw data must be this report in its original form. Use the data dictionary to understand the data.
¢ Create a subset of the data. Consider the metrics that are used in creating the SVI. Use the data dictionary to identify the state variable field, along with the appropriate fields that represent the SVI metrics, considering the research questions. The SVI indexs variable name is RPL_THEMES, in column 99. o Socioeconomic
▪ Persons below the poverty estimate
ANSWER:
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