01
Research question
Start by turning a broad topic into a focused, answerable research question with a clear population, outcome and comparison where relevant.
Research Methods pathway
Plan research more clearly before analysis begins.
This pathway helps students move from broad research ideas to clearer questions, study designs, variables, analysis strategies and responsible interpretation. It is especially useful for dissertation and project planning.
Suggested route
02
Study design
Understand how design choices shape the strength of evidence, including sampling, comparison groups, measurement and bias.
03
Variables and data
Identify outcomes, exposures, predictors, covariates and potential confounders before choosing an analysis method.
04
Analysis strategy
Choose methods that match the question, data structure, assumptions and level of interpretation needed.
05
Interpretation and reporting
Report findings with uncertainty, limitations, context and academic integrity rather than relying only on p-values.
Recommended resources
Read these guides alongside the pathway.
Data analysis · Foundation
How to prepare your data before analysis
5 min read · Updated 5 June 2026
A detailed guide for students learning how to clean, check, structure and document data before running statistical analysis.
Research methods · Intermediate
Common mistakes in dissertation data analysis
5 min read · Updated 5 June 2026
An advanced guide to the most common statistical, methodological and reporting mistakes students make in dissertation data analysis, with practical ways to avoid them.
Regression · Intermediate
How to report regression results in a dissertation
5 min read · Updated 5 June 2026
An advanced guide to reporting linear, logistic and adjusted regression results clearly in dissertation chapters, including interpretation, tables, confidence intervals and limitations.
Data analysis · Intermediate
Missing data: deletion, imputation and reporting
6 min read · Updated 5 June 2026
An advanced guide to understanding missing data mechanisms, complete-case analysis, imputation, bias, sensitivity and transparent reporting.
Research methods · Advanced
Sample size, power and precision explained
6 min read · Updated 5 June 2026
An advanced guide explaining sample size, statistical power, precision, effect size, uncertainty and why planning should focus on estimation as well as hypothesis testing.
Biostatistics · Advanced
Confounding, mediation and effect modification
5 min read · Updated 5 June 2026
An advanced guide explaining three important ideas in observational research: confounding, mediation and effect modification, with examples, interpretation and common mistakes.
Need guidance?
Submit enquiry → review → match.
If you are unsure how to frame your research question or choose a suitable method, submit an enquiry with your level, topic and project context.
Submit enquiry