Research & Academic Skills
Quantitative Data Analysis with SPSS
From raw dataset to defensible findings
- 5 weeks · 2 sessions per week
- Intermediate
- In person
- 4 modules · 9 lessons
- Certificate
Participants work in SPSS from the first session, using real datasets to move from data entry and cleaning through descriptive statistics to inferential tests. The emphasis throughout is on interpretation: choosing the right test for the question, reading output correctly, and reporting results in the format expected by journals and donors.
Outcomes
What you will be able to do
- Prepare, clean, and code a dataset for analysis
- Produce and interpret descriptive statistics
- Select the correct inferential test for a research question
- Run and interpret t-tests, ANOVA, correlation, and regression
- Report statistical findings to academic and donor standards
Curriculum
What is covered
- The SPSS environment90 min
- Data entry, coding, and cleaning90 min
Requirements
Before you join
- Familiarity with basic research concepts
- A laptop with SPSS installed (trial licence is acceptable)
Audience
Who it is for
- Researchers
- M&E officers
- Postgraduate students
- Data analysts
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