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Research Paper Template (IMRaD)

IMRaD paper: title page, structured abstract, methods, results with stats conventions, discussion, declarations, CRediT

학술전체IMRaD; ICMJE Recommendations (reference)researchpaperimradmath

사용법: Use for an empirical journal article. Fill Methods and Results first, then write the Introduction, Discussion and Abstract. Main pitfall: reporting p values without effect sizes and confidence intervals, or skipping the declarations the journal requires.

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[Title: a specific, informative statement of the study and its main variable]

Research paper template in the IMRaD structure (Introduction, Methods, Results and Discussion) used by most empirical journals, with title page fields, a structured abstract, statistical reporting conventions and the declarations journals now expect. The declarations follow the topics covered by the ICMJE Recommendations, used here as a reference only. Replace every [bracketed] value and every row marked Example. Always check the target journal's author guidelines, which take precedence.

Document control

FieldValue
Manuscript ID[MS-2026-001]
Target journal[Journal name]
Article type[Original research / Brief report / Short communication]
Word limit (main text)[4,000 words]
Abstract limit[250 words, structured]
Reporting guideline[CONSORT 2010 / STROBE / PRISMA 2020 / ARRIVE 2.0 / none]
Reference style[Vancouver / APA 7 / journal style]
Version[0.1]
Status[Draft / Internal review / Submitted / Revision / Accepted]
Corresponding author[@name]
Last updatedYYYY-MM-DD

Approvals

RoleNameDecisionDate
Corresponding author[@name][Approved for submission]YYYY-MM-DD
Senior author / PI[@name][Approved / Changes requested]YYYY-MM-DD
All co-authors[Names][Approved final version]YYYY-MM-DD

Revision history

VersionDateAuthorChange summary
0.1YYYY-MM-DD[@name]First full draft of Methods and Results
0.2YYYY-MM-DD[@name]Example: Added sensitivity analysis after co-author review
1.0YYYY-MM-DD[@name]Example: Submitted to [Journal]
1.1YYYY-MM-DD[@name]Example: Revision addressing reviewer 2, comments 1-7

Contents

1. Title page

FieldValue
Full title[Effect of X on Y in Z: a randomised controlled trial]
Running head[Short title, under 50 characters]
Authors[First Author (1), Second Author (2), Senior Author (1, 3)]
Affiliations(1) [Department, Institution, City, Country]; (2) [Department, Institution]; (3) [Department, Institution]
ORCID iDs[0000-0000-0000-0000 for each author]
Corresponding author[Name, postal address, email]
Word count[Abstract: 248; main text: 3,912]
Tables / figures[3 tables, 2 figures]
Trial or protocol registration[Registry name and number, or "not applicable"]

Example title: "Spaced retrieval practice and eight-week retention of anatomy terminology in first-year medical students: a randomised controlled trial."

2. Abstract

Background: [One or two sentences on the problem and the gap. Example: Retrieval practice improves short-term recall, but its effect on long-term retention of technical vocabulary in medical curricula is uncertain.]

Objective: [The aim in one sentence.]

Methods: [Design, setting, participants, intervention or exposure, primary outcome, analysis. Example: We randomised 212 first-year students to weekly spaced retrieval quizzes or re-reading for 6 weeks; the primary outcome was the score on an unannounced terminology test at 8 weeks.]

Results: [Main result with effect size and 95% confidence interval. Example: The retrieval group scored 7.4 points higher (95% CI 4.1 to 10.7; p < .001; d = 0.52).]

Conclusions: [What the results mean, no stronger than the data allow.]

Keywords: [3-6 terms, ideally from a controlled vocabulary such as MeSH or the ERIC Thesaurus; do not repeat words from the title.]

3. Introduction

3.1 Background and problem

[Describe the problem and why it matters, with evidence of its size or consequences. Cite the most authoritative and recent sources.]

3.2 What is known and the gap

[Summarise what prior studies established and the specific gap this study addresses: an untested population, a conflicting finding, a methodological weakness or an unexamined mechanism. State the gap in one explicit sentence, for example: "No trial has measured retention beyond four weeks in a curriculum setting."]

3.3 Aim, objectives and hypotheses

State the aim and, for confirmatory studies, the hypotheses you registered in advance.

IDTypeStatement
AIMAim[To estimate the effect of X on Y in Z]
H1Primary hypothesisExample: Students in the retrieval group will score higher on the 8-week test than students in the re-reading group.
H2Secondary hypothesisExample: The effect will be larger for low-frequency terms than for high-frequency terms.
EXPExploratory[Questions examined without a prior hypothesis; label them as exploratory in Results.]

4. Methods

4.1 Study design and setting

[Design (for example parallel-group randomised trial, cross-sectional survey, prospective cohort, quasi-experiment), setting, dates of recruitment and follow-up, and any changes to the design after it started, with reasons.]

4.2 Participants

[Eligibility criteria, recruitment method, and how consent was obtained.]

CriterionInclusionExclusion
Example: EnrolmentFirst-year students enrolled in Anatomy 101Students repeating the course
Example: Age18 years or olderNone
[Criterion][Inclusion rule][Exclusion rule]

Sample size. [State the calculation, its inputs and the source of the assumed effect size.] For two independent groups with a two-sided test:

nper group=2 (z1−α/2+z1−β)2d2n_{\text{per group}} = \frac{2\,(z_{1-\alpha/2} + z_{1-\beta})^2}{d^2}

Example: with α=0.05\alpha = 0.05, power 1−β=0.801-\beta = 0.80 and d=0.40d = 0.40, n=2(1.96+0.84)2/0.402≈98n = 2(1.96 + 0.84)^2 / 0.40^2 \approx 98 per group; allowing 8% attrition gives 106 per group, 212 in total.

4.3 Materials and interventions

[Describe each condition so that it can be replicated: content, dose, frequency, duration, who delivered it and how fidelity was checked. Name software and instruments with version numbers.]

4.4 Procedure

[The sequence of events for a participant, from recruitment to final measurement. For trials, state how the allocation sequence was generated, concealed and implemented, and who was blinded.]

4.5 Measures

VariableRoleInstrument / definitionTimingReliability / validity
Example: Terminology scorePrimary outcome60-item test, 0-100 scaleWeek 8Cronbach's alpha = 0.88 in pilot
Example: Prior knowledgeCovariateBaseline test, same blueprintWeek 0Parallel form, r = 0.81
[Variable][Outcome / exposure / covariate][Definition][Time point][Evidence]

4.6 Statistical analysis

[Describe the analysis population (intention-to-treat, per protocol), the model for each hypothesis, how assumptions were checked, how missing data were handled, the significance level and any correction for multiple comparisons. Name the software and version.]

Example primary model: an analysis of covariance adjusting for baseline score,

Yi=β0+β1 Groupi+β2 Baselinei+εi,εi∼N(0,σ2)Y_i = \beta_0 + \beta_1\,\text{Group}_i + \beta_2\,\text{Baseline}_i + \varepsilon_i, \qquad \varepsilon_i \sim \mathcal{N}(0, \sigma^2)

where β1\beta_1 is the adjusted mean difference. Standardised effect sizes use Cohen's d=(xˉ1−xˉ2)/spooledd = (\bar{x}_1 - \bar{x}_2)/s_{\text{pooled}}. Missing outcomes were handled by [multiple imputation with 20 imputations / complete-case analysis with a sensitivity analysis].

5. Results

5.1 Participant flow and characteristics

[Number screened, eligible, randomised or enrolled, analysed, and lost at each stage with reasons. Trials and many observational studies include a flow diagram (Figure 1).] Baseline characteristics are in Table 1.

Table 1. Baseline characteristics by group.

CharacteristicRetrieval (n = [106])Re-reading (n = [106])
Example: Age, years, mean (SD)19.4 (1.6)19.6 (1.9)
Example: Female, n (%)61 (57.5)58 (54.7)
Example: Baseline score, mean (SD)31.2 (9.8)30.7 (10.3)
[Characteristic][Value][Value]

5.2 Primary outcome

[State the main finding with the estimate, its precision and the test.]

Example: At 8 weeks the retrieval group scored higher than the re-reading group, adjusted mean difference 7.4 points, 95% CI [4.1, 10.7], F(1, 194) = 19.6, p < .001, partial η2\eta^2 = 0.09.

5.3 Secondary and exploratory outcomes

[Report each secondary hypothesis in order, then exploratory analyses clearly labelled as such.]

Table 2. Outcomes by group.

OutcomeRetrieval, mean (SD)Re-reading, mean (SD)Difference [95% CI]pEffect size
Example: 8-week score68.3 (13.9)60.6 (15.2)7.7 [3.6, 11.8]< .001d = 0.53
Example: Low-frequency terms54.1 (17.2)43.0 (18.4)11.1 [6.1, 16.1]< .001d = 0.62
[Outcome][ ][ ][ ][ ][ ]

5.4 Statistical reporting conventions

Use these formats consistently unless the journal specifies otherwise.

TestReport asExample
Independent t-testt(df) = value, p, d, 95% CIt(195) = 3.71, p < .001, d = 0.53, 95% CI [0.24, 0.81]
ANOVA / ANCOVAF(df1, df2) = value, p, partial eta squaredF(1, 194) = 19.6, p < .001, partial eta squared = 0.09
Chi-squarechi-square(df, N = n) = value, p, Cramer's Vchi-square(1, N = 212) = 4.12, p = .042, V = 0.14
Correlationr(df) = value, p, 95% CIr(195) = .34, p < .001, 95% CI [.21, .46]
Regressionb, SE, 95% CI, p; model R squaredb = 7.4, SE = 1.67, 95% CI [4.1, 10.7], p < .001
Odds / risk ratioOR or RR with 95% CIOR = 1.85, 95% CI [1.12, 3.05]

Further conventions: give exact p values to two or three decimals (p = .031) and use p < .001 below that; state whether tests are one- or two-sided; give means with SD and estimates with 95% CI; report the denominator for every percentage; and never describe a non-significant result as evidence of no effect.

5.5 Sensitivity analyses and harms

[Report pre-specified sensitivity analyses, for example per-protocol or alternative missing-data assumptions, and any adverse events or unintended effects. State "none observed" explicitly when that is the case.]

6. Discussion

6.1 Principal findings

[Answer the research question in two or three sentences, referring to the hypotheses by ID.]

6.2 Comparison with previous research

[Explain how the results agree or disagree with earlier studies and offer plausible reasons for differences such as population, dose, measurement or follow-up length.]

6.3 Strengths and limitations

TypeDescriptionLikely effect on results
Example: StrengthPre-registered protocol and blinded outcome assessmentReduces analytic flexibility and detection bias
Example: LimitationSingle institution, one courseLimits generalisability to other curricula
Example: Limitation7% attrition, higher in the control armPossible bias; sensitivity analysis gave similar estimates
[Type][Description][Effect]

6.4 Implications

[Implications for practice, policy or theory. Keep them proportional to the strength of the evidence and the population studied.]

6.5 Future research

[Name specific next studies: the population, design or question that would resolve the remaining uncertainty.]

7. Conclusion

[Restate the main finding and its most important implication in plain language. Example: Weekly spaced retrieval quizzes produced a moderate, durable improvement in anatomy terminology retention over 8 weeks and can be added to existing courses at little cost.]

8. Declarations

8.1 Ethics approval and consent

[Name the ethics committee, approval number and date, and how informed consent was obtained. Example: Approved by the [University] Human Research Ethics Committee (ref. [HREC-2026-041], YYYY-MM-DD). All participants gave written informed consent.]

8.2 Funding

[Funder, grant number and the funder's role in design, analysis and the decision to publish. Example: Funded by [Funder] grant [ABC-123]. The funder had no role in study design, data collection, analysis, interpretation or writing.]

8.3 Competing interests

[Declare financial and non-financial interests for every author, or state "The authors declare no competing interests."]

8.4 Data and code availability

[Where the data and analysis code can be found, under what conditions, and the persistent identifier. Example: De-identified data and R scripts are available at [repository] (DOI: [10.xxxx/xxxxx]) under CC BY 4.0.]

8.5 Author contributions (CRediT)

List each author's roles using the CRediT (Contributor Roles Taxonomy) terms.

AuthorContributions
Example: [A. Author]Conceptualization, Methodology, Formal analysis, Writing - original draft
Example: [B. Author]Investigation, Data curation, Writing - review and editing
Example: [C. Author]Supervision, Funding acquisition, Writing - review and editing
[Author][Roles]

8.6 Acknowledgements and use of AI tools

[Thank people who contributed but do not meet authorship criteria, with their permission. Disclose any use of generative AI tools in writing or analysis as the journal requires; such tools cannot be listed as authors.]

9. References

Format references in the journal's style. Examples below show common styles with placeholder values.

  1. Example (Vancouver): [Author AA, Author BB]. [Title of article]. [Journal Abbrev]. [2024];12:[45-56]. doi:[10.xxxx/xxxxx]
  2. Example (APA 7): [Author, A. A., & Author, B. B.] ([2024]). [Title of article]. [Journal Name], [12]([3]), [45-56]. https://doi.org/[10.xxxx/xxxxx]
  3. [Reference]

Checklist before submission:

  • Every in-text citation appears in the list and vice versa
  • Retracted papers checked and removed or flagged
  • DOIs resolve to the right paper
  • Preprints marked as such and checked for a published version

10. Tables, figures and supplementary material

ItemTitleLocationStatus
Table 1Baseline characteristics by groupSection 5.1[Draft]
Table 2Outcomes by groupSection 5.3[Draft]
Figure 1Participant flow diagramSection 5.1[Draft]
Figure 2[Mean scores over time with 95% CI][Section 5.3][Planned]
Supplement S1[Completed reporting checklist][Online][Planned]
Supplement S2[Analysis code and full model output][Repository][Planned]

Figure legends: [Figure number. Title. One or two sentences explaining what is shown, the meaning of error bars (SD, SE or 95% CI) and the sample size.]

Standard and licence note

Based on the IMRaD convention for empirical research articles. The declarations section reflects the topics of the ICMJE Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals, which are cited as a reference only; consult the current version on icmje.org and your journal's author guidelines, which take precedence. CRediT role names are those of the Contributor Roles Taxonomy. This template is original text written for this collection and reproduces no text from those sources. Example data are invented for illustration. Template licence: MIT.

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