1
A survey estimates average weekly commuting time with confidence intervals and compares predefined student groups.
8 Quantitative Research Examples
Use these examples to study structure, specificity, tone, and variation. They are demonstrations—not claims about a real person or organization unless the example itself makes that explicit.
Before you copy
What to notice in the examples
Strong quantitative research defines variables before analysis, uses a design capable of supporting the intended inference, reports uncertainty and assumptions, distinguishes association from causation, and makes data-processing decisions reproducible.
- Research question and prespecified variables.
- Design, sampling, measurement, and data-quality procedures.
- Statistical analysis matched to variable types and dependence structure.
- Effect estimates, uncertainty, assumptions, sensitivity checks, and limits.
2
An experiment compares task-completion time between two interface versions using random assignment.
3
A longitudinal model estimates how attendance changes within students across four semesters.
4
A regression study reports the association between tree canopy and summer surface temperature while adjusting for predefined land-use variables.
5
A quality-improvement analysis plots monthly error rates before and after a documented process change without claiming randomization.
6
A validation study compares a new screening score against an established reference measure.
7
A weighted population survey estimates proportions after correcting for unequal selection probabilities.
8
A dose-response experiment models performance across four prespecified practice schedules.
Keep the underlying decision or pattern, then replace the subject, evidence, relationship, constraints, and tone with details that belong to your situation. If your final line still works after swapping only one noun, it may be too close to the example.