Research Methodology Simplified

Research methodology is a blueprint or plan for how to test your research hypothesis, guiding budget, design, and steps before conducting the study.

See how to shape a thesis with questions: what data to collect, who or where to collect it, how to collect, and how to analyze, using a sand clock metaphor.

Relate research methodology to a recipe by showing how and why, justify sampling quality, and plan data methods with a blueprint, using questionnaires to collect data from respondents.

Define your population and sampling clearly to ensure research quality. Learn to distinguish probability and non-probability sampling and plan population and sampling sizes.

Contrast quantitative and qualitative data, and map data collection methods—surveys, questionnaires, measurements for quantitative; interviews, focus groups, and document analysis for qualitative—back to your research questions.

Contrast quantitative and qualitative data by type, purpose, and method, illustrating with questionnaires, modeling, interviews, case studies, observations, and document analysis, plus tools like Excel, SPSS, NVO or KDP, PSI.

Explore how to quantify data using mean, median, and mode from questionnaires, and how to compare samples with standard deviation and data normalization for apple-to-apple analyses.

Trace a researcher's path from bachelor to PhD, covering quantitative modelling, lab work, interviews, and mixed methods; learn to present qualitative data with tables, graphs, and DPS–DPI storytelling.

Present quantitative data from document analysis with graphical forms and GIS, link numbers to locations in Malaysia, and use descriptive statistics like mean, median, and standard deviation to reveal patterns.