Nursing research objectives are short statements of what your study will do to answer its research question. Each one names a specific action, a variable or concept, and the population.
Good objectives make the rest of the paper easier: they tell you which data to collect, which analysis to run and how to organize the results. This guide shows how to write them and keep them aligned.
What a Good Research Objective Looks Like
A strong objective starts with a precise verb such as determine, compare, describe or explore, names what will be measured or examined, and identifies who and where.
For example: "To compare pain scores at 24 hours between patients receiving scheduled and as-needed analgesia after hip replacement on two orthopedic wards."
What Research Objectives Are For
The research problem explains why the study is needed. The aim states its overall purpose in one sentence. Objectives break that aim into the specific steps the study will complete.
| Element | What it does | Example |
|---|---|---|
| Problem | States the gap or issue | Post-operative pain is often undertreated after hip replacement |
| Aim | States the overall purpose | To evaluate pain management after hip replacement |
| Research question | Asks what the study will answer | Does scheduled analgesia lower pain scores compared with as-needed dosing? |
| Objectives | List the specific actions | To measure, compare and describe defined outcomes |
Objectives are also how markers judge whether your study succeeded. In the discussion, you will report whether each one was met.
From Vague Goal to Specific Objective
Many programs ask for SMART objectives: specific, measurable, achievable, relevant and time-bound. In research, "measurable" can mean a numeric variable or a clearly defined concept you will explore.
| Vague | Specific |
|---|---|
| To look at nurses' stress | To measure perceived stress among emergency nurses using the Perceived Stress Scale |
| To improve hand hygiene | To compare hand hygiene compliance before and after a reminder campaign over eight weeks |
| To understand patient experience | To explore how adults with heart failure describe managing fluid restriction at home |
| To study falls | To identify factors associated with falls among inpatients aged 65 and over |
Verbs That Fit Each Type of Study
Your verb signals your design. Choose it carefully, because it commits you to a particular kind of data and analysis.
- Descriptive quantitative: describe, measure, determine the prevalence of, assess the level of.
- Correlational: examine the relationship between, identify factors associated with.
- Experimental or quasi-experimental: compare, evaluate the effect of, test.
- Qualitative: explore, understand, describe the experience of, interpret.
- Quality improvement: implement, evaluate, increase, reduce.
Avoid verbs that cannot be measured or observed, such as "know", "appreciate" or "be aware of". Avoid "prove", which no single study can do.
Examples for Different Designs
Quantitative study. Aim: to evaluate the effect of a nurse-led education session on inhaler technique in adults with asthma. Objectives:
1. To assess inhaler technique scores before the education session. 2. To compare inhaler technique scores before and four weeks after the session. 3. To examine whether age is associated with change in technique scores.
Qualitative study. Aim: to understand newly qualified nurses' experiences of night shifts. Objectives:
1. To explore how newly qualified nurses describe their first months of night work. 2. To identify the support they found helpful or lacking. 3. To describe the strategies they use to manage fatigue.
Notice that each objective could become a heading in the results chapter. That is a reliable sign of good alignment.
How Many Objectives You Need
Most student studies and capstones use two to four objectives. Fewer than two often means the aim has not been broken down; more than five usually means the study is too big for the time available.
Order them logically. A common pattern is to describe first, then compare or explore, then examine relationships or implications.
Keeping Objectives, Method and Results Aligned
Misalignment is the most common reason objectives lose marks. Each objective needs a matching data source and analysis, and each should be answered in the results.
| Objective | Data | Analysis | Where it is answered |
|---|---|---|---|
| To assess baseline technique scores | Checklist scores at baseline | Descriptive statistics | Results, section 1 |
| To compare scores before and after | Checklist scores at two time points | Paired comparison test | Results, section 2 |
| To examine association with age | Age and score change | Correlation | Results, section 3 |
Build a table like this in your planning notes. If any row has an empty cell, revise the objective or the method before you collect data.
Objectives in Quality Improvement and EBP Projects
Capstones built on quality improvement or evidence-based practice often use project objectives rather than research objectives. They describe what the project will implement and what change it will measure.
These objectives usually include a target and a time frame, because the project is judged on whether the change happened.
Project aim: to reduce catheter-associated urinary tract infections on a medical ward.
1. To deliver catheter removal education to at least 90 percent of ward nurses within the first two weeks. 2. To increase daily documentation of catheter necessity reviews over a twelve-week period. 3. To compare catheter days per 1,000 patient days before and after implementation.
Notice the mix. The first objective is a process target, the second tracks whether staff adopted the change, and the third measures the outcome. Including all three shows a marker that you understand how practice change is evaluated.
Targets such as "90 percent" should be realistic for your setting and, where possible, informed by baseline data or published benchmarks. Never set a target you cannot measure with the data you have access to.
Reporting Objectives and Checking Them
The discussion closes the loop. Address each objective in the order you set it, and say plainly whether it was met, partly met or not met, with the evidence from your results.
Example. The second objective, to compare inhaler technique scores before and after the session, was met. Scores improved at four weeks, which is consistent with earlier education studies, although the small single-site sample limits how far the finding can be generalized.
This simple structure makes your discussion easy to mark and shows that the study did what it set out to do. Where an objective was not met, explain why, for example a low response rate, and what a future study could do differently.
A Checklist for Each Objective
Run every objective through these questions before you submit your proposal. A single "no" usually means the wording needs another pass.
- Does it begin with a precise, observable verb?
- Does it name the variable or concept?
- Does it identify the population and setting?
- Can it be achieved with your time, access and resources?
- Does it link clearly to the aim and research question?
- Is there a planned data source and analysis for it?
- Is it distinct from the other objectives, with no overlap?
Common Mistakes to Avoid
- Writing objectives that are really methods, such as "to distribute a questionnaire".
- Using verbs that clash with the design, such as "explore" in a trial or "compare" in a phenomenological study.
- Objectives so broad that they could each be a separate study.
- Promising outcomes the study cannot measure.
- Changing objectives in the results chapter without explanation.
- Forgetting to report in the discussion whether each objective was met.
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Frequently Asked Questions
The aim is the overall purpose of the study in one sentence. Objectives are the specific steps the study takes to achieve that aim.
Usually two to four. That is enough to break down the aim without making the study unmanageable.
Yes, though they use exploratory verbs such as explore, understand or describe rather than measure or compare.
They are closely linked. Questions ask what the study will answer; objectives state what it will do. Many papers include both, matched one to one.
Many programs ask for SMART objectives. In qualitative work, focus on being specific and achievable rather than numerically measurable.
Yes. Numbered lists are common and make it easy to refer back to each objective in the results and discussion.
Usually at the end of the introduction or background, after the problem statement and aim and before the literature review or method.
In the discussion, address each objective in turn, summarizing what the results show and noting any that were only partly met.