In one line: Gender bias is a systematic distortion in research that misrepresents one gender, or treats one gender as the standard for all.
In a well-known study, clinicians were asked to describe a mentally healthy adult, a mentally healthy man and a mentally healthy woman.
Their "healthy adult" and their "healthy man" were almost the same: independent, decisive, unemotional. Their "healthy woman" was described differently.
So a woman could be a healthy woman or a healthy adult, but not easily both.
Two words for it: Gender bias: the distortion itself.
Androcentrism: its most common form, in which the male pattern is taken as the human norm.
It can enter research through the sample, through the measures, which may have been built on one gender, and through the interpretation of any difference that is found.
Remember: Whose behaviour was taken as the norm?
Free preview
This is the free notes preview
You're reading the free notes. Aimnova Pro unlocks the full study experience — and you can try it with your first topic free to keep:
- FlashcardsLock in vocabulary and key terms with spaced repetition.
- Practice questionsAnswer exam-style questions and get instant AI marking.
- Mock exams & past-paper vaultSit full mocks and see exactly how examiners award marks.
- Personalised study planA daily plan built around your exam date and weak areas.
Key idea: There are two opposite errors: making too much of gender differences, and making too little of them.
Alpha bias: differences overstated
- Presents the genders as fundamentally unlike
- Small average differences become fixed traits
- Tends to confirm existing stereotypes
- "Men are rational, women are emotional"
Beta bias: differences understated
- Presents the genders as interchangeable
- Usually after research on one gender only
- Real differences go unexamined
- A theory of moral reasoning built on interviews with boys
The clinicians' answers contain both. Describing men and women as opposites is alpha bias. Using the male description as the description of a healthy adult is androcentrism, and it leads to beta bias when women are then judged by it.
Exam tip: Both errors can occur in one study.
Identify each separately, and say which part of the study it belongs to.
Stop wasting time on topics you know
Our AI identifies your weak areas and focuses your study time where it matters. No more overstudying easy topics.
Key idea: In clinical psychology, gender bias can affect diagnosis, prevalence statistics and treatment.
Three places it shows
Diagnosis
Descriptions of some disorders were drawn up mostly from one gender.
Attention problems were first described in boys who were restless and disruptive. Girls more often show quiet inattention, which fits the description less well and is recognised later, or not at all.
Prevalence statistics
Recorded rates differ between the genders for many disorders.
A recorded rate combines how many people have the disorder with how readily it is noticed in them, so a gap may be partly an effect of assessment.
Treatment
Drug trials long relied on male participants, and their results were applied to women.
That is beta bias built into treatment: a difference in response was never looked for.
The label · The count · The care
The test of whether a gap is bias is to change the method of assessment. If the gap shrinks when everyone is asked the same structured questions, part of it lay in the assessment and not in the people.
Watch out: Finding a difference is not bias. Assuming one, or assuming none, is.
A well-supported difference between the genders is a finding. An untested one is a bias in either direction.
Key idea: The remedy is to treat gender as a question to be tested, at every stage of a study.
Four ways
Balanced samples
All genders are represented in numbers large enough to be analysed.
Report each group
Results are broken down by gender, so that a difference, or its absence, is shown and not presumed.
Fair measures
Tests and diagnostic descriptions are checked against each gender. One that was built on a single gender is revised.
Question your own assumptions
Researchers state what they expect to find about gender, and have their interpretation checked by colleagues who may not share it.
Sample · Analysis · Measures · Assumptions
Research teams that include more than one gender are more likely to notice an assumption that a single-gender team takes for granted.
"We treat everyone the same": Identical treatment is fair only if it rests on evidence from everyone.
Applied to findings from one gender, it is beta bias with a fair-sounding name.
See how examiners mark answers
Answer exam-style questions with model answers. Learn exactly what earns marks and what doesn't.
How this is asked: Gender bias belongs to the concept bias. It can be the subject of a 15-mark essay set in a context, often as a claim to discuss, and it is a ready point in the 15-mark question on a study you are given.
The essay pattern
- State a position on the claim.
- Explain the mechanism: alpha bias, beta bias, androcentrism.
- Support it with an example, real or hypothetical.
- Show the consequence for diagnosis, statistics or treatment.
- Give the counter-argument, then a reasoned conclusion.
The trap: all bias, or no bias: A gap between men and women is rarely all bias or all real.
The discussion is about how much of it each explains, and how anyone could tell.
One claim in the psychology of health and well-being is that differences between men and women in how often a mental health disorder is diagnosed are produced by bias, not by any real difference. Discuss this claim.
Model answer plan
See the answer broken into clear points, with guidance on how each point earns marks.