Writing General and Specific Objectives

Overview

Research objectives state what the study will do to answer its research question. They convert an interrogative question into an operational set of actions and establish the scope of data collection, analysis and interpretation. A clear objective set allows the investigator and reader to trace each planned measurement back to a stated purpose.

The general objective expresses the overall purpose of the study. It is broad enough to encompass the project but focused enough to identify the central population, phenomenon or variables and intended inquiry. Specific objectives divide that overall purpose into a small number of logically ordered, answerable components.

Objectives should not be decorative statements added after the methods are chosen. They guide design, outcome selection, sample-size planning, data-collection forms, analysis tables and conclusions. Health-research guidance recommends that objectives remain directly connected to the problem and question [1–3]. They arise from the same question-formulation process that defines the population, comparison and intended evidence [4].

Why this matters

Weak objectives create scope expansion. A protocol may collect many variables because the objectives use broad verbs such as “assess everything related to”, or because each team member adds a preferred outcome. The analysis then becomes a list of statistical tests rather than a coherent answer to a research problem.

Strong objectives clarify what the study is accountable for. They distinguish the principal aim from supporting description, explanatory analysis or exploratory work. They also prevent a common mismatch in which the objectives promise causal effects, diagnostic validity or intervention effectiveness while the methods provide only a cross-sectional survey.

General objective

A general objective usually begins with one principal action verb and identifies:

• the population, setting or material being studied;
• the central outcome, exposure, phenomenon, intervention or methodological product;
• the intended inquiry, such as estimate, examine, explore, evaluate, develop or validate; and
• important timing or context when needed for interpretation.

Example:

To estimate completion of postpartum glucose testing and examine associated patient and service factors among women with gestational diabetes who deliver at the study hospital.

This general objective allows a descriptive primary component and an analytical secondary component. If the project also includes qualitative interviews, the general objective may be broadened carefully to include understanding barriers and facilitators, or the qualitative aim may be stated as a specific objective.

Specific objectives

Specific objectives break the general objective into coherent components. A useful sequence often follows the logic of the study:

1. describe the study population or context when needed;
2. estimate the primary outcome or characterise the central phenomenon;
3. compare groups or examine pre-specified associations;
4. explore processes, experiences or implementation determinants; and
5. develop or validate a product if that is genuinely part of the study.

Not every study requires all these types. A small project may need only two or three specific objectives. More objectives create more measurements, analyses, interpretation and participant burden.

Aligned objective hierarchy

illustrative

General objective

To investigate completion of postpartum glucose testing and its patient and service-related factors among women with gestational diabetes who deliver at the study hospital.

Specific objectives

1. To estimate the proportion completing a documented glucose test within 12 weeks postpartum.
2. To describe the stages of the follow-up pathway at which eligible women are lost.
3. To examine the association of pre-specified patient and service factors with testing completion.
4. To explore barriers and facilitators reported by women with differing follow-up experiences.

Each objective adds information to the same problem. The fourth objective requires an appropriate qualitative component; it should not be included if the protocol contains only closed questionnaire items.

Choosing action verbs

Descriptive quantitative objectives

Use verbs such as:

• estimate;
• describe;
• determine the distribution of;
• calculate;
• characterise; or
• summarise.

Example: To estimate the prevalence of uncontrolled hypertension among adults attending participating clinics.

Comparative and analytical objectives

Use:

• compare;
• examine the association between;
• estimate the difference in;
• evaluate the relationship between; or
• identify factors associated with.

“Determine the effect of” should be used only when the design and assumptions support a causal effect question.

Qualitative objectives

Use:

• explore;
• understand;
• describe how participants experience;
• examine perceptions of;
• interpret; or
• develop an explanatory account of.

“Understand” is acceptable when the objective identifies what understanding is sought, among whom and in what context. It is weak when used alone.

Intervention objectives

Use:

• evaluate;
• compare;
• estimate the effect of;
• assess feasibility or acceptability; or
• examine implementation.

The objective should state the comparator, outcome and time point when these are central.

Instrument and model-development objectives

Use:

• develop;
• adapt;
• translate;
• assess reliability;
• evaluate validity;
• develop a prediction model; or
• externally validate.

Do not use “validate” as a vague claim. Specify the relevant measurement property or validation task.

Objectives are not activities or benefits

The following are activities, not research objectives:

• recruit 300 participants;
• administer a questionnaire;
• enter data into REDCap;
• conduct regression analysis; or
• disseminate findings at a conference.

These belong in methods, project management or dissemination plans.

The following are anticipated benefits or impacts, not direct objectives:

• improve patient care;
• reduce national mortality;
• increase awareness; or
• inform policy.

A study may contribute to these goals, but it should not claim them as achieved unless the design measures them directly.

Making objectives measurable

“Measurable” does not mean that every objective must produce a number. A qualitative objective is measurable in the sense that the protocol specifies participants, phenomenon, context, data generation and analysis capable of answering it.

A quantitative objective should identify the main variables or comparison. Operational details can appear later, but terms must be sufficiently precise. “To assess obesity” is unclear. “To estimate the prevalence of obesity defined by body mass index among adults attending the clinics during the recruitment period” is actionable.

PROTOCOL CHECKLIST

For each specific objective, specify

• the corresponding research question;
• the population or data subset;
• the exposure, intervention, comparator, outcome or phenomenon;
• the measurement source and timing;
• the planned descriptive, statistical or qualitative analysis;
• whether it is primary, secondary or exploratory; and
• the table, figure, theme or estimate expected in the results.

Alignment matrix

An objective matrix exposes gaps and unnecessary data collection.

If a collected variable appears in no objective or essential confounding plan, its justification should be reconsidered. Conversely, an objective without a viable data source is not ready.

Scope and number of objectives

A protocol should not use objectives to display ambition. Each additional objective may require a different population, design, sample-size basis or analytic expertise. A project that estimates prevalence, identifies causes, develops an intervention, tests effectiveness and evaluates implementation may represent a programme of research rather than one student project.

Objectives can be staged. A first study may quantify the problem and understand barriers. Intervention co-design and effectiveness evaluation can follow. Explicit sequencing is stronger than compressing incompatible tasks into one protocol.

Worked example

WORKED EXAMPLE

Repairing an over-ambitious objective set

Initial general objective: To determine the causes of poor postpartum follow-up and develop an effective intervention to prevent type 2 diabetes.

Problems: The planned observational study cannot establish all causes, develop and evaluate an intervention, or measure prevention of future diabetes.

Revised general objective: To investigate completion of postpartum glucose testing and factors influencing follow-up among women with gestational diabetes who deliver at the study hospital.

Revised specific objectives:

1. To estimate documented testing completion within 12 weeks.
2. To examine pre-specified patient and service factors associated with completion.
3. To explore barriers and facilitators to follow-up among women with different completion experiences.
4. To integrate quantitative and qualitative findings to identify candidate targets for a future intervention.

The final objective concerns integration and identification of candidate targets, not proof that an intervention is effective.

Appraising objectives

APPRAISAL CHECKLIST

Check the objective set

• Does the general objective express the central study purpose?
• Does each specific objective contribute directly to that purpose?
• Is one objective clearly primary when the study requires prioritisation?
• Are the verbs compatible with the design and intended inference?
• Can every objective be answered using the specified population, measurements and analysis?
• Are activities and anticipated impacts kept outside the research objectives?
• Is there unnecessary duplication between objectives?
• Is the number of objectives feasible for the available sample, time and expertise?
• Will the conclusions be organised around the objectives rather than around whichever results are significant?

Suggested protocol wording

Common mistakes

Knowledge check

What is the difference between a general and a specific objective?

Answer and reasoning

The general objective states the overall purpose of the study. Specific objectives divide that purpose into a small number of answerable components that map to data, analysis and results.

Why is ‘to administer a questionnaire to 300 patients’ not a research objective?

Answer and reasoning

It is a data-collection activity. An objective should state the knowledge to be generated, such as estimating patient experience or examining factors associated with satisfaction.

Can ‘to explore patients’ experiences of treatment burden’ be a measurable objective?

Answer and reasoning

Yes. Measurement is not limited to numerical outcomes. The protocol must specify the participant group, phenomenon, context, qualitative data-generation method and analytical approach capable of producing a defensible interpretation.

What signals that a project has too many objectives?

Answer and reasoning

Objectives require different populations, major additional measurements, separate designs, multiple primary outcomes or more time and expertise than are available. The project may need prioritisation or division into sequential studies.

Key take-home messages

SUMMARY

Key take-home messages

• Objectives translate the research question into explicit study actions and expected evidence.
• Use one focused general objective and a small number of coherent specific objectives.
• Select action verbs that match descriptive, analytical, causal, predictive, qualitative or methodological aims.
• Objectives are not recruitment tasks, statistical procedures, deliverables or hoped-for societal benefits.
• Every objective should map to a population, data source, analysis and reportable result.
• Ambitious programmes should be staged rather than compressed into an unmanageable protocol.

References

1. Farrugia P, Petrisor BA, Farrokhyar F, Bhandari M. Research questions, hypotheses and objectives. Can J Surg. 2010;53(4):278–281.
2. World Health Organization Regional Office for the Eastern Mediterranean. A practical guide for health researchers. Cairo: World Health Organization; 2004. https://iris.who.int/handle/10665/119703
3. Browner WS, Newman TB, Cummings SR, Grady DG, Huang AJ, Kanaya AM, et al. Designing clinical research. 5th ed. Philadelphia: Wolters Kluwer; 2022.
4. Haynes RB. Forming research questions. J Clin Epidemiol. 2006;59(9):881–886. https://doi.org/10.1016/j.jclinepi.2006.06.006