Strengthen your research design and methods
Methodology guidance for study planning, data collection, validation, and analysis.
Learning topics in this section
Each topic is written for practical use, with emphasis on transparency, responsible authorship, accurate attribution, publication ethics, and open access publishing standards.
Guidance is prepared to support ethical publishing practice: clear journal information, transparent fees where applicable, responsible peer review, proper citation, licensing awareness, data integrity, and accountable AI use.
This methodology section supports stronger study planning, transparent reporting, and defensible interpretation. It is useful before data collection, during manuscript writing, and while responding to reviewers.
What to focus on
- Define the research question, study design, setting, population or sample, variables, data sources, and analysis plan before writing results.
- For quantitative work, report measurement methods, sample size logic, inclusion and exclusion criteria, statistical tests, assumptions, uncertainty, and limitations.
- For qualitative work, describe participant selection, interview or observation methods, coding approach, theme development, reflexivity, and trustworthiness.
- For mixed methods, explain why integration is needed, how qualitative and quantitative evidence connect, and how combined findings answer the research question.
Readiness checklist
- Research question is specific
- Study design is justified
- Sampling method is described
- Data collection is reproducible
- Analysis plan is transparent
- Limitations are stated
- Ethics approval/consent is clear where applicable
Quantitative Research
Introduces numerical study designs, measurement, variables, statistical testing, validity, reliability, and transparent reporting.
Qualitative Research
Covers interviews, focus groups, observations, coding, themes, reflexivity, trustworthiness, and ethical participant handling.
Mixed Methods
Explains how qualitative and quantitative approaches can be integrated to answer complex research questions.
Study Design
Guidance for choosing an appropriate design based on research question, feasibility, ethics, data needs, and validity.
Sampling
Covers population, sample size, inclusion criteria, exclusion criteria, sampling bias, and representativeness.
Data Collection
Explains planning reliable data collection, documentation, consent where required, and secure handling of research data.
Statistical Analysis
Introduces analysis planning, descriptive statistics, inferential tests, assumptions, reporting, and avoiding misleading interpretation.
Research Validation
Covers validity, reliability, reproducibility, triangulation, audit trails, and transparent limitations.