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Challenges in needs assessment: the Head Start needs assessment national analysis
Hsin-Ling Hung1, James W Altschuld
1University of North Dakota, 231 Centennial Dr. Stop 7189, Grand Forks, ND 58202-7189, United States. sonya.hung@email.und.edu
This study examines methodological challenges in secondary data analysis for multi-site, national needs assessments. Understanding these issues is crucial for improving service development and needs assessment practices.
Area of Science:
- Social Sciences
- Public Health
- Program Evaluation
Background:
- Needs assessment (NA) is essential for identifying service gaps and guiding improvements.
- Secondary analysis of large-scale needs assessment data presents unique methodological hurdles.
- Effective needs assessment practices are vital for evidence-based service delivery.
Purpose of the Study:
- To identify and discuss methodological challenges encountered in a secondary analysis of a national needs assessment.
- To provide insights for needs assessors working with complex, multi-site data.
- To contribute lessons learned for advancing future needs assessment practices.
Main Methods:
- Secondary analysis of data from a multi-site, national needs assessment.
- Focus on methodological issues inherent in re-analyzing large-scale survey or program data.
- Case illustration using the Head Start needs assessment project.
Main Results:
- Methodological challenges in secondary analysis can impact the validity and reliability of findings.
- Issues may include data integration, sampling biases, and measurement inconsistencies across sites.
- The Head Start needs assessment project exemplifies common problems in large-scale NA.
Conclusions:
- Addressing methodological issues in secondary analysis is critical for accurate needs assessment.
- Lessons learned can inform best practices for future national and multi-site needs assessments.
- Improved NA practices lead to more effective service development and targeted interventions.
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