Research questions emerge at the intersection of existing knowledge and
unresolved uncertainty. They may develop from inconsistencies in prior
findings, novel datasets generated through advancing technologies, or
persistent clinical problems that lack satisfactory solutions.
In some cases, researchers formulate
hypothesis-driven questions, which are structured to
test a specific, falsifiable prediction derived from theory or prior
evidence. In other cases—particularly in emerging or poorly understood
areas—scientists pursue exploratory questions designed
to characterize patterns, relationships, or mechanisms without
committing to a predetermined outcome. Both forms of inquiry are
essential: exploratory investigation often identifies patterns that
later become the basis for rigorous hypothesis testing. The strength of
a research project depends heavily on the quality of its guiding
question. Effective research questions are precise, logically
constructed, and methodologically feasible
As you complete the matching exercise, consider what makes a question
effective: Is the population clearly defined? Are the variables
measurable? Is the scope narrow enough to be realistically studied?
Click or tap on a statement, then on the appropriate category to place it.
Why is diabetes so common?
What is the impact of early palliative care consultation on quality of
life in patients with advanced cancer?
Is obesity bad for your health?
Is cancer treatment effective?
How does access to GLP-1 medications affect HbA1c levels in adults with
type 2 diabetes?
Do doctors make good leaders?
How do social determinants of health influence hypertension management
in urban primary care clinics?
What factors contribute to burnout among resident physicians during
their first year of training?
How does technology impact healthcare?
Does telehealth follow-up reduce hospital readmission rates for heart
failure patients within 30 days of discharge?
Weak
Strong
Too broad and vague; no population, variables, or method.
Opinion-based and not clearly measurable.
Already well established and too general to study meaningfully.
“Effective” is undefined and cancer/treatment are not specified.
Overly broad—“technology” and “impact” could mean many things.
Specific population, intervention, and measurable outcome.
Clear variables, timeframe, and outcome.
Well-defined intervention and patient-centered outcome.
Focused population and clearly defined outcome.
Addresses a real-world problem and is researchable.
Activity: Effective Questions