Task 4: Data Analysis of SayPro’s Curriculum Impact
1. Define Objectives
- Identify key academic outcomes and skills impacted by SayPro’s curriculum.
- Establish measurable indicators of improvement.
- Determine correlations between curriculum engagement and performance outcomes.
2. Data Collection
- Gather pre- and post-program academic performance data.
- Collect feedback and skill assessment reports from participants.
- Obtain records of curriculum participation (e.g., attendance, completion rates, engagement levels).
3. Data Cleaning & Preparation
- Standardize and categorize data (academic scores, skill ratings, attendance).
- Handle missing or inconsistent data.
- Convert qualitative feedback into measurable insights where possible.
4. Correlation Analysis
- Use statistical tools (e.g., Pearson correlation, regression analysis) to identify relationships.
- Compare curriculum modules with improvements in test scores, employability skills, or personal development.
- Identify patterns or trends that indicate positive or negative correlations.
5. Visualization & Reporting
- Use graphs, charts, and tables to present findings.
- Highlight key correlations and trends.
- Provide data-backed recommendations for curriculum improvements.
6. Conclusion & Recommendations
- Summarize findings on curriculum effectiveness.
- Suggest enhancements to strengthen impact.
- Propose further research or pilot studies if needed.