Key information
- ✓Methodology explains how material was obtained and why that procedure was chosen.
- ✓For a survey, state participant selection criteria, questionnaire distribution, response period and data-coding rules.
- ✓Check that questions match the data, the method describes work actually done and conclusions do not exceed the findings.
What does this topic cover?
Write down the question, material and available data first. Only then choose a method, instrument and analysis plan. This makes the procedure reflect actual work rather than a generic model.
We help describe the study, present data and formulate conclusions that answer the research questions.
A practical example
For a survey, state participant selection criteria, questionnaire distribution, response period and data-coding rules. Describe the sample's limitations explicitly.
The example links a question, material and analysis. Record exclusions, missing data and limitations too, so later conclusions stay within the study's actual scope.
How do you connect the question to the method?
Write one main question and break it into smaller questions that your available material can answer. For each, identify a variable, category or document passage and the way you will analyse it. Naming a method alone does not explain how results will be produced.
Before collecting data, make a table with the research question, data source, instrument, analysis method and expected type of answer. If you cannot fill a column, revise the design before launching a survey, interviews or calculations.
How should you record material and limitations?
State where the data came from, whom or what it covers, the period studied and any exclusion criteria. When people are involved, check consent and data protection requirements. Do not invent missing responses or measurements.
Separate observation from interpretation. A table or chart presents a result; the following paragraph explains what it means for the research question. A small or purposively selected sample must not be presented as representative of an entire population.
How can you check the results section?
Trace each question to a table and each table to a conclusion. Include a source, sample size or unit whenever readers need it to understand a result. Check percentage denominators and ensure captions describe what is actually shown.
In the conclusion, distinguish an answer supported by evidence from a suggestion. Correlation is not proof of cause, and findings cannot be extended beyond the group or period studied. Name limitations that genuinely follow from the method used.
A sample audit trail for the study
Take one research question and trace it through the chapter: which instrument produced the answer, where is it in the data and which table displays it? If a finding has no such trail, return to the spreadsheet or notes. Do not interpret a result merely because you expected it.
Check that the analysis fits the data type. An open survey response needs different treatment from a numerical scale; an interview quotation cannot replace an explanation of coding. State how missing data were handled and where the conclusions cease to apply.
How should you check your work?
Check that questions match the data, the method describes work actually done and conclusions do not exceed the findings. Citations and source details must be verifiable.
The final structure, method and formal requirements must follow your university's current guidance and your agreement with your supervisor.
Summary
Methodology explains how material was obtained and why that procedure was chosen. The final structure, method and formal requirements must follow your university's current guidance and your agreement with your supervisor.
Frequently asked questions
Where should you start?
Methodology explains how material was obtained and why that procedure was chosen. Connect the aim, questions, sampling, instruments, procedure and analysis plan without inventing steps that did not happen. Write down the question, material and available data first. Only then choose a method, instrument and analysis plan. This makes the procedure reflect actual work rather than a generic model.
What would a concrete example look like?
For a survey, state participant selection criteria, questionnaire distribution, response period and data-coding rules. Describe the sample's limitations explicitly.
What should you check before submission?
Check that questions match the data, the method describes work actually done and conclusions do not exceed the findings. Citations and source details must be verifiable.
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