WHY ENGLISH?
Use precise sex-and-gender language from the research question to the final limitation
Sex and gender can affect research questions, study design, participation, measurement, analysis and interpretation. They are related concepts but not interchangeable shortcuts. English matters because an unclear label can hide who was studied, what was measured and whether a conclusion applies beyond the sample.
The Sex and Gender Equity in Research guidelines, known as SAGER, were published in Research Integrity and Peer Review in 2016. They provide general principles and recommendations for the title and abstract, introduction, methods, results and discussion of research involving humans, animals, cells, tissues and work intended for human application.
SAGER does not require authors to invent analyses unsupported by their design. It asks them to use terms carefully, report how sex and gender were considered, present disaggregated data where appropriate, justify exclusions and discuss the implications when analysis was not conducted.
Article contents
Open all chapters
- 1. Use Sex and Gender as Defined Constructs
- 2. Make the Title and Abstract Specific When Scope Is Limited
- 3. Explain Why Differences May Matter
- 4. Design the Study to Reveal Relevant Variation
- 5. Justify Exclusions and Restricted Samples
- 6. Describe How Variables Were Collected
- 7. Preserve Privacy and Small-Cell Safety
- 8. Present Disaggregated Results Where Appropriate
- 9. Distinguish Prespecified and Exploratory Analyses
- 10. Report Null, Negative and Inconclusive Findings Clearly
- 11. Discuss Implications Without Essentialism
- 12. Explain Missing Analysis and Its Consequences
- 13. Align Conclusions With the Actual Sample
ORIENTATION
What this guide owns
Current fact check
The SAGER guidelines were published in 2016. The current EASE materials include separate checklists for studies involving human participants and for research involving animals, cells or other non-human materials.
Canonical boundary
This article owns SAGER reporting across a research article. It does not replace ethical review, inclusive recruitment, statistical power planning, local definitions of gender or specialist guidance for a particular population.
Worked example
Every chapter returns to a fictional study of how students respond to two versions of a digital feedback tool. It is fictional, low-stakes and educational; it does not report a real school, clinical decision or guaranteed outcome.
Did You Know? For sager, complete reporting makes appraisal possible but does not perform the appraisal, remove bias or guarantee transfer.
Warm up with eduKate’s guides to explaining scientific evidence and asking better questions in class.
CHAPTER 1 OF 13
1. Use Sex and Gender as Defined Constructs
Why this move matters
Define what each term means in the study and use the chosen language consistently.
Did You Know? SAGER warns against confusing sex and gender as if they were synonyms.
Define the terms before analysing them
Define what each term means in the study and use the chosen language consistently. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The report distinguishes recorded sex information from students self-described gender identities. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Definitions vary across disciplines and contexts, so a label needs an operational meaning. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Use Sex and Gender as Defined Constructs”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 2 OF 13
2. Make the Title and Abstract Specific When Scope Is Limited
Why this move matters
Name a single-sex or single-gender sample when that boundary is central to interpretation or application.
Did You Know? SAGER places scope information where readers first encounter the claim.
Define the terms before analysing them
Name a single-sex or single-gender sample when that boundary is central to interpretation or application. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The abstract does not imply all students were studied when recruitment covered only one group. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
A precise title may still be incomplete if the methods hide how categories were assigned. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Make the Title and Abstract Specific When Scope Is Limited”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 3 OF 13
3. Explain Why Differences May Matter
Why this move matters
Use the introduction to state relevant prior evidence, plausible mechanisms and unanswered questions without assuming difference in advance.
Did You Know? SAGER asks authors to report expected sex or gender differences where relevant.
Define the terms before analysing them
Use the introduction to state relevant prior evidence, plausible mechanisms and unanswered questions without assuming difference in advance. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The study asks whether feedback design interacts with social experiences, not whether one group is naturally better. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
A rationale should not harden stereotypes into hypotheses. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Explain Why Differences May Matter”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 4 OF 13
4. Design the Study to Reveal Relevant Variation
Why this move matters
Plan recruitment, sample size, measures, timing and analysis so meaningful differences can be examined when appropriate.
Did You Know? Representation is a design question before it becomes a table.
Define the terms before analysing them
Plan recruitment, sample size, measures, timing and analysis so meaningful differences can be examined when appropriate. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The team avoids a recruitment channel that reaches mainly one student group. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Balanced counts alone do not guarantee valid measurement or sufficient power. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Design the Study to Reveal Relevant Variation”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 5 OF 13
5. Justify Exclusions and Restricted Samples
Why this move matters
Explain scientific, ethical or practical reasons for including or excluding groups and the consequences for use of the findings.
Did You Know? SAGER asks for reasons when males or females are excluded.
Define the terms before analysing them
Explain scientific, ethical or practical reasons for including or excluding groups and the consequences for use of the findings. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use A pilot limited to one programme states that boundary and avoids population-wide claims. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Convenience is not a scientific justification merely because it is common. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Justify Exclusions and Restricted Samples”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 6 OF 13
6. Describe How Variables Were Collected
Why this move matters
Report question wording, response options, self-report or administrative sources, timing, privacy and handling of missing or multiple responses.
Did You Know? Measurement choices determine what later disaggregation can mean.
Define the terms before analysing them
Report question wording, response options, self-report or administrative sources, timing, privacy and handling of missing or multiple responses. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use Students can choose options appropriate to the study and decline to answer without being forced into a false category. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
A dataset field may reflect administrative practice rather than identity or biology. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Describe How Variables Were Collected”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 7 OF 13
7. Preserve Privacy and Small-Cell Safety
Why this move matters
Explain access controls, suppression, aggregation and the trade-off between detailed reporting and re-identification risk.
Did You Know? Equity reporting must not expose participants to avoidable harm.
Define the terms before analysing them
Explain access controls, suppression, aggregation and the trade-off between detailed reporting and re-identification risk. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The report combines very small cells in public tables while retaining an approved internal analysis. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Protective aggregation can limit insight and should be acknowledged. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Preserve Privacy and Small-Cell Safety”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 8 OF 13
8. Present Disaggregated Results Where Appropriate
Why this move matters
Show relevant outcomes, withdrawals and missingness by sex or gender with denominators and uncertainty, including null findings.
Did You Know? SAGER recommends reporting analyses regardless of whether results are positive or negative.
Define the terms before analysing them
Show relevant outcomes, withdrawals and missingness by sex or gender with denominators and uncertainty, including null findings. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The results table reports uptake and attrition rather than only a pooled average. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Subgroup estimates may be unstable and should not be overread. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Present Disaggregated Results Where Appropriate”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 9 OF 13
9. Distinguish Prespecified and Exploratory Analyses
Why this move matters
Label what was planned, what emerged after looking at data and how multiple comparisons or limited power affect interpretation.
Did You Know? Transparent timing protects readers from a post-hoc story presented as a prediction.
Define the terms before analysing them
Label what was planned, what emerged after looking at data and how multiple comparisons or limited power affect interpretation. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use An unexpected interaction is reported as exploratory and proposed for replication. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
A subgroup pattern is not automatically a causal explanation. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Distinguish Prespecified and Exploratory Analyses”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 10 OF 13
10. Report Null, Negative and Inconclusive Findings Clearly
Why this move matters
Give estimates and uncertainty rather than translating non-significance into proof of no difference.
Did You Know? Equity depends on reporting what the data can and cannot distinguish.
Define the terms before analysing them
Give estimates and uncertainty rather than translating non-significance into proof of no difference. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use Wide intervals are described as imprecise evidence, not equivalence. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Absence of statistical significance may reflect limited information. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Report Null, Negative and Inconclusive Findings Clearly”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 11 OF 13
11. Discuss Implications Without Essentialism
Why this move matters
Separate observed associations from biological, social or contextual explanations and consider alternative pathways.
Did You Know? Careful language prevents descriptive categories from becoming destiny.
Define the terms before analysing them
Separate observed associations from biological, social or contextual explanations and consider alternative pathways. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The discussion considers tool design and classroom norms before attributing a response pattern to identity. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Group averages do not define every individual. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Discuss Implications Without Essentialism”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 12 OF 13
12. Explain Missing Analysis and Its Consequences
Why this move matters
When sex- or gender-based analysis was not possible or relevant, state why and how that limits interpretation or application.
Did You Know? SAGER explicitly asks for a rationale when analysis is not conducted.
Define the terms before analysing them
When sex- or gender-based analysis was not possible or relevant, state why and how that limits interpretation or application. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The authors note that administrative data lacked a suitable gender measure. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Silence leaves readers unable to judge the scope of a claim. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Explain Missing Analysis and Its Consequences”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
CHAPTER 13 OF 13
13. Align Conclusions With the Actual Sample
Why this move matters
Name the population, categories, setting and uncertainty carried into recommendations, further study or policy implications.
Did You Know? A modest conclusion can be more equitable and more scientifically useful.
Define the terms before analysing them
Name the population, categories, setting and uncertainty carried into recommendations, further study or policy implications. Say whether a variable concerns biological attributes, social roles, identity, expression or another construct. Avoid treating sex and gender as interchangeable labels.
Follow inclusion into interpretation
Use The conclusion refers to the participating programmes rather than all schools. Trace who or what was included, how variables were measured, how data were disaggregated and how the discussion handles missing analysis. The chain matters more than a ceremonial sentence.
Check for hidden defaults
Ask whether one group has silently become the norm, whether exclusions are justified and whether negative or null differences are reported. Fair reporting includes inconvenient evidence as well as striking contrasts.
Keep claims proportionate
Transparent scope supports use but does not guarantee transfer. Distinguish observed results from explanations and avoid essentialist language. When a study cannot analyse sex or gender well, report the limitation and its effect on interpretation.
Practical reader check
- Point to the exact source or method sentence supporting the claim.
- Name the person, setting, date, input and decision rule that could change its meaning.
- Label the remaining uncertainty reported, inferred, contested or unknown.
Student, parent and career transfer
Make one evidence card for “Align Conclusions With the Actual Sample”: source location, plain-language meaning, limit and next question. A parent or teacher can ask for one everyday explanation and one specialist explanation; both must preserve the same conditions. This habit supports research, education, public health, engineering, data science, editing and evidence communication without promising a grade, admission, funding decision or job.
PRACTICE LAB
Build a sager decision trail
Student route
- Choose one original report inside this guide’s scope.
- Copy its objective and underline actor, action, context, evidence and intended decision.
- Draw the specific reasoning chain used in this article.
- Mark each step reported, inferred, contested or unknown.
- Rewrite the conclusion so it preserves the narrowest important limitation.
Parent or teacher route
Ask the learner to explain use precise sex-and-gender language from the research question to the final limitation twice: once to a classmate and once to a method specialist. Praise a precise correction and a well-stated unknown; both show disciplined attention to evidence.
Early-career route
Create a one-page sager audit with source link, date checked, scope, method logic, decisive wording, contrary evidence, limit and next action. A colleague should be able to continue without guessing.
Decision rule
If a shorter explanation removes the condition that made the original claim true, it is not clearer yet. Restore the condition.
Continue with eduKate’s guides to reading course and career information and giving useful feedback in group projects.
USEFUL NEXT READING
Connect this narrow owner to its neighbour
Read the AGREE II guideline-appraisal guide for a related but different reader job. Return here when the question is specifically how to use precise sex-and-gender language from the research question to the final limitation. This boundary keeps one canonical owner per intent.
For English practice across research, school and career communication, visit the Singapore English Tuition Centre learning site.
FREQUENTLY ASKED QUESTIONS
Questions students and parents often ask
What does SAGER stand for?
Sex and Gender Equity in Research.
Are sex and gender interchangeable?
No. Authors should define and use each term carefully.
Must every paper run subgroup tests?
No. Analysis should fit the question and design, but omissions and implications should be explained.
Should null differences be reported?
Yes, with estimates and uncertainty where appropriate.
Does equal sample size solve the issue?
No. Measurement, power, missingness and interpretation also matter.
Can detailed reporting create privacy risk?
Yes. Small-cell protection should be planned and explained.
PRIMARY SOURCES
Read the original sager guidance
Facts were checked against original publications and official records on 5 November 2026. Follow the live source for later corrections, completed updates or companion material.
A cheerful final note
Precise English makes use precise sex-and-gender language from the research question to the final limitation more generous, not less. People can see how their evidence and values entered the work, where disagreement remains and what a responsible next step looks like.