Needs Assessment Flashcards

Which data source is considered PRIMARY when conducting a community needs assessment?

Answer: Direct surveys of community residents

Primary data is collected directly from community members through surveys, interviews, or focus groups rather than from existing secondary sources.

A Community Action Agency wants to assess food insecurity using existing government datasets. This approach is best described as:

Answer: Secondary data analysis

Secondary data analysis uses existing datasets (e.g., USDA food security surveys, Census data) rather than collecting new data from scratch.

Which of the following best demonstrates the principle of community participation in needs assessment?

Answer: Forming an advisory committee that includes low-income community members

CSBG mandates meaningful involvement of low-income individuals in assessing needs, and an advisory committee inclusive of those served best fulfills this requirement.

In the context of a CCAP needs assessment, 'triangulation' refers to:

Answer: Using multiple data sources or methods to validate findings

Triangulation strengthens assessment validity by cross-referencing findings from multiple data sources, methods, or informants.

A focus group conducted as part of a needs assessment is most useful for:

Answer: Exploring perceptions, attitudes, and lived experiences in depth

Focus groups are qualitative tools ideal for understanding the 'why' behind community issues through discussion and storytelling.

Which federal requirement directs Community Action Agencies to conduct a comprehensive community needs assessment at least every three years?

Answer: Community Services Block Grant (CSBG) Act

The CSBG Act requires eligible entities to conduct a community needs assessment at least once every three years as part of their accountability framework.

When analyzing needs assessment data, 'disaggregation' is important because it:

Answer: Reveals disparities among subgroups such as race, age, or geography

Disaggregating data by subgroup exposes inequities that aggregate totals can mask, enabling more targeted and equitable program responses.