Examples
Quantitative questions specify variables or outcomes that can be measured. Their wording should reflect whether the study describes, compares, predicts, associates, or tests an effect.
01What is the relationship between weekly low-stakes quiz completion and final-exam scores in introductory biology?
Why it works
Defines two measurable variables and a course population.
02Do students using retrieval practice retain more vocabulary after four weeks than students using rereading?
Why it works
Names groups, outcome, and time horizon.
03How accurately does daily step count predict self-reported sleep quality among office workers?
Why it works
Uses predictive wording without claiming causation.
04Is appointment nonattendance lower after SMS reminders than after email reminders in one outpatient clinic?
Why it works
Provides a clear comparison and observable outcome.
05What proportion of sampled urban households correctly interpret local flood-risk maps?
Why it works
Matches a descriptive prevalence design.
06Does interface response time affect task completion in a mobile banking prototype?
Why it works
Identifies a manipulable variable and performance outcome.
Check your wording
- Operationalize every central variable.
- Define the population and sampling frame.
- Choose descriptive, correlational, comparative, or causal wording deliberately.
- Identify likely confounders before collecting data.