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Part 1: Data Collection
Program analyses, needs assessments, and gap analyses require informed decision making based on data. Data must be reliable, valid, and collected and analyzed ethically.
- In your own words, what are reliability and validity?
- Why should program evaluation data be both reliable and valid?
- Why should data be both quantitative and qualitative?
- Why is it important to protect those stakeholders who contribute to data collection?
- Why should personal information not be compromised?
Part 2: Determining Feasibility
Suppose you have discovered a gap in your adult learning program that needs to be filled, and you have an idea about how to fill it. How do you find out if the idea is feasible?
- What is the function of a feasibility analysis?
- On what factors is the feasibility analysis based?
- How would you determine if an idea is feasible?
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