Essential Quantitative Research Skills for Educational Studies
About the Course
This course introduces the foundational principles and statistical tools of quantitative educational research. Participants learn to design studies, analyse data, interpret statistical results, and write high-quality quantitative findings aligned with referencing and citation standards. The course combines conceptual understanding, hands-on data analysis, and writing practice based on authentic article texts and dissertation samples.
Course Length
Note: Applications may be submitted by academic universities and interested parties. This course will run with a minimum of 12 participants per group.
Course Learning Outcomes
By the end of the course, participants will be able to:
1. Explain core concepts, designs, and paradigms in quantitative educational research.
2. Develop research questions and hypotheses suited to quantitative analysis.
3. Apply appropriate descriptive and inferential statistical techniques.
4. Conduct data analysis using Excel/SPSS/JASP/STATA.
5. Interpret statistical outputs in clear academic language.
6. Critically read and evaluate quantitative arguments in journal articles and dissertations.
Course Team
PhD in Economics (Econometrics and Statistics), Senior Lecturer
PhD in Pedagogy, Senior Fellow of the Higher Education Academy (SFHEA)
PhD in Political Economy, Senior Lecturer
PhD Candidate in Education (University Putra Malaysia), Senior Fellow of the Higher Education Academy (SFHEA)
- Quantitative vs qualitative paradigms
- Variables and operational definitions
- Types of data (nominal, ordinal, interval, ratio)
- Sampling, population, sample size, sampling errors
- Research questions and hypotheses (H₀ & H₁)