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WGU D591 Grant Writing Task 1 Performance Assessment | Type 2 Diabetes Needs Assessment & Funding Opportunity Alignment | 2026 Updated | Rubric-Aligned .

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WGU D591 Grant Writing Task 1 Performance Assessment | Type 2 Diabetes Needs Assessment & Funding Opportunity Alignment | 2026 Updated | Rubric-Aligned .

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,
,WGU D591 Grant Writing Task 1 Performance Assessment | Type
2 Diabetes Needs Assessment & Funding Opportunity Alignment
| 2026 Updated | Rubric-Aligned .




Section 1: Needs Assessment Fundamentals (Questions 1–35)
Question 1: What is the primary purpose of conducting a needs assessment for a grant
proposal?
A. To identify the funder's budget limits
B. To gather data about a population that will help make decisions about how to solve a problem
C. To determine the organization's staffing needs
D. To create a marketing plan
Correct Answer: B. To gather data about a population that will help make decisions about how
to solve a problem.
Rationale: A needs assessment gathers initial information about a population to provide data
that can help in making decisions about how to solve a problem. It is the foundation for
demonstrating the need for funding.


Question 2: Which of the following is NOT a recommended method for assessing need in a
grant proposal?
A. Examining statistics from different sources
B. Soliciting input from the target population through interviews and surveys
C. Relying solely on the grant writer's personal observations
D. Conducting focus groups
Correct Answer: C. Relying solely on the grant writer's personal observations.
Rationale: Effective needs assessments use multiple methods, including statistics, interviews,
focus groups, and surveys. Personal observations alone are insufficient and lack credibility.


Question 3: In a needs assessment for a Type 2 Diabetes grant proposal, which type of data is
considered primary data?
A. Census statistics on diabetes prevalence
B. CDC reports on national diabetes trends
C. Surveys and interviews conducted with the target population
D. Published research studies
Correct Answer: C. Surveys and interviews conducted with the target population.

, Rationale: Primary data is collected directly from the source. Surveys and interviews with the
target population are primary data, while census statistics, CDC reports, and published studies
are secondary data.


Question 4: What is the key difference between a needs assessment and a community
assessment?
A. A needs assessment focuses only on health, while a community assessment is broader
B. A needs assessment identifies gaps between current and desired conditions, while a
community assessment provides a broader picture of the community
C. There is no difference
D. A community assessment is only for urban areas
Correct Answer: B. A needs assessment identifies gaps between current and desired
conditions, while a community assessment provides a broader picture of the community.
Rationale: A needs assessment focuses on identifying specific gaps and unmet needs, while a
community assessment provides a comprehensive overview of the community's strengths,
resources, and challenges.


Question 5: Which of the following is a quantitative data source for a Type 2 Diabetes needs
assessment?
A. Focus group transcripts
B. Interviews with community leaders
C. Diabetes prevalence rates from the CDC
D. Observational field notes
Correct Answer: C. Diabetes prevalence rates from the CDC.
Rationale: Quantitative data includes numerical statistics such as prevalence rates, incidence
rates, and demographic data. Focus groups, interviews, and observations produce qualitative
data.


Question 6: What is the purpose of using triangulation in a needs assessment?
A. To reduce the number of data sources needed
B. To validate findings by using multiple data sources and methods
C. To simplify the data collection process
D. To eliminate the need for statistical analysis
Correct Answer: B. To validate findings by using multiple data sources and methods.
Rationale: Triangulation strengthens the credibility of needs assessment findings by cross-
verifying data from multiple sources and methods.

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