Quantitative research questions
- Do the authors totally randomise the sample to make it more representative of the population? How do they do this?
- This reduces bias and therefore makes the findings more generalisable.
- If a sample of convenience is used, then to reduce bias it needs to be large enough to be representative.
- Sometimes a large convenient sample may be randomised into smaller groups.
- Types of sampling are detailed in the research design page.
- Did they use statistical calculations (power calculations) to determine how many people were needed in the sample to make the findings generalisable.
- Large numbers required
The authors need to explain in detail how they collected the data:
- what tools have been used to collect the data?
- have the authors shown them to be valid (measure what they are supposed to measure) and reliable (consistent over time)?
- if it is a person or machine obtaining the data has this been shown to have interrater reliability between each assessment?
- are interventions shown to be consistent for each subject?
- How does all this affect the research?
SMILE - How to assess a research article by GCU School of Health and Life Sciences modified by Marion Kelt, Glasgow Caledonian University is licensed under a Creative Commons Attribution 4.0 International License.