Advanced Data Analysis for MEAL (MEA 304)
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MEA 304 – ADVANCED DATA ANALYSIS FOR MEAL
Module Objective
To develop learners' ability to conduct advanced analysis of quantitative and qualitative MEAL data and generate meaningful programme insights.
Learning Outcomes
Learners should be able to:
1. Clean programme datasets.
2. Conduct descriptive analysis.
3. Interpret statistical results.
4. Conduct comparative analysis.
5. Analyse trends.
6. Conduct basic inferential analysis.
7. Analyse qualitative data.
8. Integrate quantitative and qualitative findings.
9. Interpret analytical results.
10. Translate analysis into programme recommendations.
Module Content
1. Data preparation
2. Data cleaning
3. Descriptive statistics
4. Frequency distributions
5. Measures of central tendency
6. Measures of dispersion
7. Cross-tabulation
8. Trend analysis
9. Comparative analysis
10. Correlation
11. Basic regression concepts
12. Statistical significance
13. Confidence intervals
14. Qualitative coding
15. Thematic analysis
16. Mixed-method analysis
17. Data interpretation
18. Evidence synthesis
19. Analytical reporting
20. Management recommendations
IPSD Contact Information
Mr. Peter Senesie, IPSD Assistant Vice President and Dean
Email: psenesie@pathsu.education
Whats App: +232 76 752525
Dr. Michael Udam, Associate Dean, IPSD
Email: mudam@pathsu.education
Whats App: +234 803 249 6398
IPSD Website: PATHS University IPSD
Admissions: admissions@pathsu.education