Research Methodology Learning Program
Why This Program?
Receiving the Commonwealth Scholarship was a privilege, and it fueled my desire to make a real impact within my community. Through this program, I want to give back by providing research skills that can open doors to academic and professional growth for students across Bangladesh. Inspired by a commitment to give back to the community, I created this free, 2-month Social Research Methodology Learning Program. Driven by the vision of making research education accessible to all, this program bridges gaps for students lacking formal research methodology training. Over 50 students from universities across Bangladesh, completed the 2-month program in Sept-Oct 2024, setting a new standard for inclusive, high-quality research education.
Free, Inclusive Program
Open to university students across Bangladesh, entirely free of cost.
Hands-On Learning
Each class uses examples from actual research scenarios to demonstrate methods and techniques, ensuring that students understand how to apply them practically.
Intensive, Interactive
The program is intensive, with live classes every Saturday evening. I encourage open questions and discussions, creating an engaging, interactive learning experience.
Amazing Response
Batch 1 brought together over 50 eager students, building a network of young researchers from diverse backgrounds.
Program Structure
| Week | Topic | Learning Outcomes |
|---|---|---|
| Week 1 | Introduction to Research | – Understand the fundamentals of science and knowledge. – Define research and its importance. – Explore ethical principles in research. – Learn to formulate research problems, questions, and hypotheses. |
| Week 2 | Research Strategy & Design | – Identify and differentiate research approaches: qualitative, quantitative, and mixed methods. – Explore key research designs: cross-sectional, longitudinal, experimental, quasi-experimental. – Learn to align research questions with the appropriate design. |
| Week 3 | Sampling Techniques | – Define population, sample, and sampling frame. – Learn probability sampling methods: simple random, systematic, stratified, cluster sampling. – Understand non-probability sampling methods: convenience, snowball, purposive, quota sampling. – Calculate sample size and conduct power analysis. |
| Week 4 | Data Collection Techniques | – Learn structured, semi-structured, and unstructured data collection. – Design and use surveys and questionnaires with closed-ended, Likert scale, and open-ended questions. – Conduct in-depth and key informant interviews, focus group discussions. – Collect data through real research scenarios: field surveys, case studies. |
| Week 5 | Data Analysis Part 1 | – Understand data types: categorical, continuous, nominal, ordinal, interval, ratio. – Apply basic statistical concepts: mean, median, mode, normal distribution. – Conduct statistical tests for categorical data: chi-square test. – Perform t-tests (one-sample, two-sample, paired) to analyze group differences. – Introduce correlation analysis for continuous variables. |
| Week 6 | Data Analysis Part 2 | – Learn ANOVA (one-way, repeated measures, two-way) for analyzing differences across groups. – Conduct regression analysis (simple and multiple) to predict relationships between variables. – Introduction to SPSS: hands-on practice with data view & variable view, independent sample t-tests and basic statistical functions. – Begin thematic analysis (Braun & Clarke) for qualitative data. |
| Week 7 | Systematic Literature Review | – Define and differentiate traditional and systematic literature reviews. – Develop a structured protocol for a systematic review: defining questions, objectives. – Conduct literature searches, screen and select studies, and assess quality. – Learn data extraction and synthesis for meta-analysis. – Practice referencing and citation management using software tools. |