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Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent High rating - local haz mit plans * SOVI proportion - low

Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent

High rating - local haz mit plans *

SOVI proportion - low or high

33 100.0% 0 0.0% 33 100.0%

High rating - local haz mit plans * SOVI proportion - low or high Crosstabulation
SOVI proportion - low or high
Lower than natl avg Higher than natl avg
High rating - local haz mit plans Yes - high rating recv'd Count 10 8 18
% within SOVI proportion - low or high 55.6% 53.3% 54.5%
No - not a high rating Count 8 7 15
% within SOVI proportion - low or high 44.4% 46.7% 45.5%
Total Count 18 15 33
% within SOVI proportion - low or high 100.0% 100.0% 100.0%

Chi-Square Tests
Value df Asymptotic Significance (2-sided)

Exact Sig

(2-sided)

Exact Sig

(1-sided)

Pearson Chi-Square .016a 1 .898
Continuity Correctionb .000 1 1.000
Likelihood Ratio .016 1 .898
Fisher's Exact Test 1.000 .588
Linear-by-Linear Association .016 1 .900
N of Valid Cases 33
  1. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 6.82.
  2. Computed only for a 2x2 table

I need help interpreting the data in these tables so that I can do my assignment. The directions to the assignment are below, and the tables are above. I am terrible at statistics and do not know how to read these tables for the purpose of this assignment. Thank you!

This assignment asks you to act a staff member of a unit within the Federal Emergency Management Agencyand to write a briefing memo to a principal within your unit. The memo will describe the results of a short analysis the principal has requested of you. A bit more specifically, for the purposes of this assignment you are a Policy Analyst with the Office of Policy and Program Analysis at FEMA. The incoming Director of the Office of Policy and Program Analysis, Federal Emergency Management Agency, United States Department of Homeland Security wants a short review of a study you have been working on with regard to assessing community vulnerability and local hazard mitigation practices. For the purpose of the analysis, the new OPPA Director wants to understand whether there is any relationship between community vulnerability and how effective communities are in addressing that 1 vulnerability. As part of a study assessing local hazard mitigation practices, you've drawn a random sample of 33 counties across the United States. To provide information to the OPPA Director, you decide to produce a short briefing memo that addresses two key questions: is local natural vulnerability related in some way to local hazard mitigation? And is the local proportion of persons considered socially vulnerable to hazards and disasters related in some way to local hazard mitigation practices? (Note: you've drawn a distinction between natural hazards vulnerability for the community in general and the distribution of persons in the community who might be considered socially vulnerable to hazards. If the latter term is not familiar to you, read onbackground resources are provided.)

The memo you are going to write should cover a few key elements. First, it should note the basic core finding you want to present. (Standard practice: lead the memo with the "top line" information, then build the rest from there.) Second, it should offer some context about hazard vulnerability - especially social vulnerability to hazards and about hazard mitigation efforts. Students can use any additional resources they'd like, but four articles are provided with this assignment to offer a good starting point for understanding this context - and thereby serve as a starting point for explain such concepts and context to the OPPA Director. Third, the memo should also explain the nature of the specific findings from this hypothetical study. The data and analysis material used for this assignment is discussed in the Unit 4 lecture materials (Parts A and E), but students should know the following: the dataset is strictly fictional - these are not data drawn from a real study. There are 3 key measures in the dataset: (1) a measure assessing a fictional county's level of vulnerability to natural hazards (rated on a scale from low to high; assume this information was derived from a THIRA process); (2) a measure (a two item scale) of whether the proportion of county residents scored higher or lower than the national average on a social vulnerability to hazards scale (see the Cutter, et al. paper for an explanation of measuring social vulnerability through a SOVI approach); and (3) a measure (a two item scale) of whether a county hazard mitigation plan was indicating as receiving a "high quality" rating (again, assume for the sake of this assignment - this being hypothetical and all - that this rating comes out of a state-level or possibly FEMA regional office review of local plans as part of a larger THIRA review process). Given that, your job is to look at the contingency table analysis (i.e. the cross tabs) presented below and construct that into a memo that can inform your Director about how vulnerability might be assessed (the SOVI proportion of a county, the level of natural hazards vulnerability for a county) and what its relationship is to local hazard mitigation planning efforts. This should be a one to two page memo - but two pages is the maximum length. The key to the assignment is to think about what information your audience needs - and that they will want to process with a short amount of time to review. In this case, you are staff supporting the OPPA Director. Therefore, substantively, in the memo you will want to provide a short description of the project objective (i.e. the analytic question posted), the nature of the data used (including summary of variable distributions; i.e. description of the sample measures), the key analytic results, and context for interpreting those findings (i.e. the substantive meaning of the analysis - a take-away interpretation, even if it is necessarily qualified by considerations such as data limitations).

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