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Rationale

• Data analysis is key to revealing hidden patterns, understanding research data and facilitating data-driven policy decisions.Ìý
• Different statistical packages exist, but Statistical Package for Social Sciences (SPSS) package is windows driven, user friendly and subscribed to by many universities, institutes and government agencies.

Purpose

• To help assistants, researchers and students learn or sharpen some basic statistical and analytical skills that can be used for data analysis using SPSS.
• To enable learners to produce good data sets ready for sharing and analysisÌý
• To enable learners to apply and interpret common inferential statistical tests and their assumptionsÌýÌý

Learning Outcomes

2. To define, identify, describe and utilize concepts of descriptive statisticsÌýÌý

3. To apply and interpret common inferential statistical tests and their assumptionsÌý

4. To apply basic skills of data analysis and concepts of statistics and statistical procedures to social data.Ìý

5. To describe and utilize principles of probability and hypothesis testing.Ìý
6. To perform quantitative data analyses using different techniques in SPSS.

Target Population

• Public interested in using SPSS for data analysis
• Researchers
• Tertiary students.

Delivery Modes

• FacilitationÌý
• Case 4844³ÉÈËÃâ·Ñ¸£ÀûÌý
• Group WorkÌý
• Practicum (Hands on using SPSS software)

AssessmentÌý

• Case StudiesÌýÌý
• Group workÌý
• PresentationsÌý
• Class assignment

Recognition of Prior Learning

• Understanding of Statistics
• Tertiary qualification Ìý
• Module/s in statistics

Certification

• Attend 98% of the course to qualify for certificate
• Participate in class discussions, group activities and practicum