Topic A: Social psychology AS

Syllabus
2026
Topic
Level
AS

Learning objectives

1.1.1Theories of obedience1.1.1 Theories of obedience, including agency theory and social power theory.1.1.2Milgram’s obedience research1.1.2 Research into obedience, including Milgram’s (1963) research into obedience and three of his variation studies: rundown office block (Experiment 10), telephonic instructions (Experiment 7), ordinary man gives orders (Experiment 13) as they demonstrate situational factors that encourage dissent.1.1.3Factors affecting obedience and dissent1.1.3 Factors affecting obedience and dissent/resistance to obedience, including individual differences (personality and gender), situation and culture.; Conformity.1.1.4Types and explanations of conformity1.1.4 Types and explanations of conformity.1.1.5Asch’s conformity research1.1.5 Research into conformity including Asch (1951) and his variation studies (1952, 1956).1.1.6Minority influence1.1.6 Minority influence (Moscovici, 1976).1.1.7Factors affecting conformity and minority influence1.1.7 Factors affecting conformity and minority influence, including individual differences (personality), situation and culture.1.2.1Questionnaire and interview design1.2.1 Designing and conducting questionnaires and interviews, considering researcher effects.1.2.2Primary and secondary data1.2.2 Primary and secondary data.1.2.3Interview types and question types1.2.3 Unstructured, semi-structured and structured interviews, open, closed (including ranked scale) questions.1.2.4Alternative hypotheses. Sample selection and sampling techniques1.2.4 Alternative hypotheses.; Sample selection and sampling techniques.1.2.5Sampling techniques1.2.5 Random, stratified, volunteer, and opportunity sampling techniques.; Quantitative data.1.2.6Quantitative data analysis1.2.6 (List A) Analysis of quantitative data: calculating measures of central tendency (mean, median, mode), data tables (frequency tables and summary tables), graphical presentation (bar chart, histogram), measures of dispersion (range and standard deviation), percentages, ratios, fractions.1.2.7Normal and skewed distribution1.2.7 Normal and skewed distribution.1.2.8Thematic analysis1.2.8 Analysis of qualitative data using thematic analysis.; Ethical guidelines.1.2.9BPS ethics and risk management1.2.9 British Psychological Society (BPS) code of ethics and conduct (2009), including risk management when carrying out research in psychology.1.3.1Moscovici et al. (1969) minority influence1.3.1 Moscovici et al. (1969) Influence of a Consistent Minority on the Responses of a Majority in a Color Perception Task.; Contemporary study.1.3.2Burger (2009) Milgram replication1.3.2 Burger (2009) Replicating Milgram: Would people still obey today? One contemporary study from the following two choices:.1.3.3Yi Huang et al. (2014) conformity duration1.3.3 Yi Huang et al. (2014) Conformity to the opinions of other people lasts for no more than 3 days.1.3.4Haun et al. (2014) peer conformity1.3.4 Haun et al. (2014) Children Conform to the Behavior of Peers; Other Great Apes Stick With What They Know.1.4.1Social psychology practical investigation1.4.1 One practical research exercise to gather data relevant to topics covered in social psychology.; This practical research exercise must adhere to ethical principles in both content and intention.; In conducting the practical research exercise, learners must:; design and conduct a questionnaire to gather both qualitative and quantitative data to look for a difference in the data; consider questionnaire construction, sampling decisions and ethical issues; collect and present an analysis of quantitative data using measures of central tendency (mean, median, mode as appropriate), measures of dispersion, (including range and standard deviation as appropriate), table and graphical representations (summary table, frequency table, bar graph, histogram as appropriate); collect and present an analysis of qualitative data using thematic analysis; consider strengths and weaknesses of the questionnaire; write up the procedure, results and discussion section of a report.; ; A questionnaire to see if males perceive themselves to be more obedient than females.; ; A questionnaire into self-reported levels of conformity based on scenarios.

Why people obey authority

Obedience is a change in behaviour in response to a direct order from someone perceived to have authority. Agency theory explains a change in responsibility; social power theory explains why the authority can influence the target.

Theory Mechanism What predicts obedience
Agency theory In an autonomous state, a person sees themself as responsible. Under legitimate authority they may enter an agentic state, act as the authority's agent and displace responsibility. A convincing authority and a gradual commitment make the agentic shift more likely; moral strain can produce dissent.
Social power theory The target obeys because the authority is perceived to control valued outcomes or possess a socially recognised influence. French and Raven distinguish reward, coercive, legitimate, expert and referent power; the power that matters depends on how the target perceives the source.

Agency theory does not say people lose all choice, and social power is not a fixed property of a uniform or job title. Individual differences and the situation can interrupt either process.

Milgram's obedience experiments

Milgram used a standardised laboratory task in which a volunteer 'teacher' believed they were increasing electric shocks to a learner after errors. In the original study, 65% reached the 450 V maximum, showing that ordinary adults could obey a legitimate experimenter despite visible conflict.

Condition Crucial change Reached maximum
Original study Yale laboratory; experimenter nearby 65%
Experiment 10: rundown office Lower-status commercial setting 47.5%
Experiment 7: telephone instructions Authority gave orders remotely 22.5%
Experiment 13: ordinary man gives orders A peer, not the experimenter, issued the order 20%

The variations isolate situational influences: reduced prestige, proximity or legitimate authority increased dissent. Their standardisation supports comparison, but an artificial shock task, a male US sample and serious deception and distress limit generalisation and ethics.

The results show that the situation can powerfully affect obedience; they do not show that everyone obeys or that personality and culture are irrelevant.

What changes obedience and dissent

Obedience and dissent reflect an interaction between the person, the immediate situation and the culture. A factor is supported when changing or comparing it produces a reliable difference, not merely because it sounds plausible.

Factor Route to obedience or dissent Evidence boundary
Personality An internal locus of control may support personal responsibility and resistance; authoritarian tendencies may favour submission to legitimate authority. Associations do not prove that a trait caused one act.
Gender Social roles or experience may change responses in a particular setting. Findings are mixed and cannot justify a universal male/female rule.
Situation Authority proximity, prestige, surveillance, peer dissent and gradual commitment change the social pressure. Milgram's variations demonstrate strong situational effects.
Culture Norms about hierarchy and individual or collective duties shape what authority means. A national label must not replace evidence from the sampled group.

Dissent becomes easier when responsibility is salient, the authority's legitimacy is weakened or another person models resistance. These routes can work together rather than competing as single explanations.

Three depths of conformity

Conformity is changing behaviour or belief because of real or imagined group pressure. Its depth depends on whether the change is public only, tied to group membership, or genuinely accepted.

Type Public behaviour Private belief Persistence
Compliance changes unchanged usually ends when pressure ends
Identification changes may change while group membership matters lasts while identification remains
Internalisation changes genuinely changes can persist without the group

Normative social influence produces acceptance or avoidance of rejection, so it often supports compliance. Informational social influence occurs when others are treated as evidence about reality, especially in ambiguous or difficult situations, so it can produce internalisation.

An observed public agreement does not by itself reveal private belief. The type of conformity must be inferred from what changes and whether it persists.

Asch's line-judgement studies

Asch tested whether a unanimous majority could make a person publicly give an obviously wrong line judgement. A real male student answered after confederates who had been instructed to choose the same incorrect comparison line on critical trials.

About three quarters conformed at least once, although many responses still resisted the majority. Later variations showed that conformity rose as a small majority formed, fell sharply when one partner broke unanimity, and changed with task difficulty and whether answers were public.

The controlled line task isolates majority size, unanimity and response conditions, supporting a situational explanation and replication. However, the artificial task, awareness of being studied and restricted US male student sample limit everyday and population validity; historical norms may also change conformity.

Asch demonstrated public yielding under group pressure, not automatic private conversion. Resistance in many trials is as important as the conformity rate.

How a minority changes a majority

Minority influence occurs when a smaller group changes majority judgement. Moscovici's account proposes a conversion process: an unexpected, coherent minority creates conflict, makes the majority examine the issue more deeply and may produce private internalisation.

Minority behaviour Why it can work Limit
Consistency over time and between members signals a stable position and keeps attention on the alternative rigidity can make the minority seem unreasonable
Flexibility shows willingness to negotiate rather than repeat a slogan too much compromise removes the clear alternative
Commitment or personal cost makes the position appear sincere and important commitment alone does not prove the claim is correct
Knowledge or confidence can make the minority a credible informational source credibility depends on the task and audience

A minority need not win an immediate public vote. Its effect may be delayed, indirect and private, which differs from majority pressure that often produces public compliance.

When people conform - and when minorities persuade

The same three levels of explanation organise conformity and minority influence: individual differences alter susceptibility, the situation changes pressure and credibility, and culture shapes the norms against which agreement is judged.

Factor Majority conformity Minority influence
Personality confidence, self-esteem and locus of control can affect resistance confidence and independence can help a person voice and sustain dissent
Situation unanimity, group size, public responding and task ambiguity change pressure consistency, flexibility, commitment and credible expertise change scrutiny
Culture collectivist settings may place greater value on group harmony in some tasks cultural tolerance of dissent affects whether an alternative receives attention

These are probabilistic influences, not labels that determine behaviour. A culture, personality score or group size cannot predict every response without considering the task and immediate social context.

Designing questionnaires and interviews

A good questionnaire or interview turns a construct into questions that respondents can understand and answer without being steered. The wording, order and researcher behaviour must serve the aim and produce analysable data.

  1. Define the target construct and population. 2. Write one clear idea per question, avoiding leading wording, jargon, double negatives and double-barrelled items. 3. Choose open or closed responses to match the evidence needed. 4. Pilot the instrument and revise ambiguous wording or an exhausting length. 5. Standardise instructions, consent, privacy and recording.

An interviewer's tone, appearance, prompts or reactions can change responses; social desirability and acquiescence can do the same. Neutral wording, consistent prompts, anonymity where possible and reflexive recording of researcher decisions reduce these effects.

Standardisation can improve reliability but cannot guarantee validity: consistently asking a leading or unclear question produces consistently distorted data.

Primary and secondary data

Primary data are gathered first-hand for the current research aim. Secondary data already exist because another researcher or organisation collected or compiled them for an earlier purpose.

Data source Main strength Main risk
Primary questionnaire, interview or observation variables, sample and procedure can be tailored to the aim slower, costlier and exposed to the researcher's design effects
Secondary article, archive, official statistics or existing dataset efficient and may provide large samples or historical comparison definitions, sampling and quality may not fit the new aim and cannot be changed retrospectively

Judge fitness rather than assuming one source is superior: check operational definitions, population, date, missing data, collection method and ethical permission. A new analysis of an existing dataset remains secondary data for the new researcher.

Interview structures and question formats

Interview structure controls how far the researcher can adapt the conversation; question format controls the kind of response produced. These are separate design decisions.

Interview Design Trade-off
Structured fixed questions in a fixed order comparable and replicable, but little depth
Semi-structured planned core questions plus permitted probes balances comparison with clarification
Unstructured flexible conversation around a topic rich, participant-led detail, but harder comparison and greater interviewer effects
Question Data produced Main caution
Open respondent's own words coding can be subjective
Closed fixed categories such as yes/no categories may oversimplify experience
Ranked or rating scale ordered or numerical choice intervals between points may not be psychologically equal

An unstructured interview is not simply an interview containing open questions, and a structured interview can contain both open and closed items.

From an alternative hypothesis to a sample

An alternative hypothesis states the predicted relationship or difference between operationalised variables. It must be testable with the planned data and population; it may be directional when prior evidence justifies a direction, or non-directional when only a difference or association is predicted.

Directional: 'Students shown a unanimous group response will give more conforming answers than students shown a mixed response.' Non-directional: 'There will be a difference in conforming answers between the two conditions.' Both define what is measured and compared.

The target population is everyone to whom the claim is intended to apply; the sampling frame is the accessible list or source; the sample is the people actually studied. Define inclusion and exclusion criteria before recruitment, choose a sampling technique, record non-response and compare sample characteristics with the target population.

A large sample can still be systematically biased, and a hypothesis is not supported merely because the sample result follows the predicted direction; inferential evidence and design quality matter.

Four ways to select participants

A sampling technique is the rule used to move from a target population or sampling frame to the people studied. The rule determines which selection biases are likely.

Technique How selection works Main trade-off
Random every member of a complete frame has an equal chance, using a random process reduces researcher selection, but needs an accurate frame and non-response can bias the result
Stratified divide the population into relevant strata and randomly sample each in population proportions improves representation on chosen strata, but requires reliable population information
Volunteer people respond to an invitation practical and informed, but self-selection may produce an unusual sample
Opportunity recruit those available at the time and place fast and inexpensive, but availability and researcher access limit representativeness

Random sampling is not random allocation: sampling selects people from a population, whereas allocation assigns sampled participants to conditions.

Choosing a quantitative summary

Quantitative analysis should reveal the pattern without hiding the scale of measurement or the spread. First identify whether values are categories, discrete counts or continuous measurements; then choose compatible summaries and displays.

\text{mean}=\frac{\sum x}{n}\qquad \text{range}=x_{\max}-x_{\min}\qquad \text{percentage}=\frac{\text{part}}{\text{whole}}\times100

Need Suitable choice Interpretation boundary
Typical value mean for roughly balanced numerical data; median for ordered/skewed data; mode for the most frequent category or score report the measure that fits the data, not all three automatically
Spread range for total span; standard deviation for typical distance around the mean equal means can conceal very different variability
Organise data frequency table for counts of values/categories; summary table for condition-level statistics label variables, units and sample sizes
Display bar chart for separate categories; histogram for continuous intervals with touching bars a histogram's area/frequency scale and class intervals must remain clear

Fractions, ratios and percentages express the same part-whole information in different forms. Keep the denominator explicit: 12 conforming responses out of 30 is 12/3012/30, a conforming-to-nonconforming ratio of 12:1812:18, and 40%.

Standard deviation is paired meaningfully with the mean, while a skewed distribution often calls for median and range. A graph cannot repair an unsuitable statistic or missing units.

Normal and skewed distributions

A distribution describes how scores are spread. Its shape affects which measure represents a typical score and how extreme values should be interpreted.

Shape Pattern Centre
Normal symmetrical bell shape; most scores cluster near the centre and frequencies taper evenly mean = median = mode
Positive skew long tail toward high values mean is pulled above the median
Negative skew long tail toward low values mean is pulled below the median

The mean uses every value and is sensitive to extremes. For a strongly skewed distribution, the median usually gives a more representative centre; the range or interquartile pattern should be read alongside it. A histogram helps reveal the shape.

The name of a skew follows the tail, not where most scores lie. A distribution is not normal merely because it has one central peak.

Finding themes in qualitative data

Thematic analysis is a systematic way to identify recurring patterns of meaning in qualitative data such as open questionnaire responses or interview transcripts.

  1. Read the complete dataset repeatedly. 2. Code relevant segments with concise labels. 3. Group related codes into candidate themes. 4. Check each theme against its extracts and the whole dataset. 5. define and name distinct themes. 6. Report the pattern with brief anonymised evidence and explain how it addresses the aim.

A coding framework and a record of decisions make the analysis transparent. A second coder can test whether the definitions are applied consistently; disagreements should lead to clarification, not automatic majority voting. Reflexivity helps the researcher examine how expectations shaped coding.

A theme is a meaningful pattern relevant to the aim, not simply the most common word. Counting codes can support an account but does not turn interpretation into purely objective quantitative data.

Ethics and risk management in psychology

The BPS Code of Ethics and Conduct (2009) requires researchers to protect dignity, autonomy, privacy and wellbeing while producing trustworthy knowledge. Ethical planning begins before recruitment and continues through storage, reporting and debriefing.

Duty Practical safeguard
Valid consent give accessible information about tasks, data use and foreseeable risks; obtain agreement without pressure
Right to withdraw allow participants to stop and explain whether identifiable data can later be removed
Deception use only when justified and proportionate, reveal it promptly and permit data withdrawal after debrief
Protection from harm keep risk no greater than justified, monitor distress and provide a stopping or support route
Privacy and confidentiality collect only necessary data, separate identities, secure access and report anonymously

A risk assessment identifies hazards, who may be affected, likelihood and severity, preventive controls, stopping rules and follow-up. Extra safeguards are required for vulnerable participants, sensitive topics or unequal power relationships.

A signed consent form does not waive the researcher's duty of care, and a debrief cannot retrospectively make avoidable harm acceptable.

Moscovici et al. (1969): a consistent minority

Moscovici et al. tested whether a consistent minority could shift a majority's colour judgements. Groups of six women contained four naïve participants and two confederates; each group judged 36 blue slides aloud.

Condition Confederate response Green responses by naïve participants
Consistent minority called every slide green 8.42%
Inconsistent minority called 24 green and 12 blue 1.25%
Control no minority calling slides green almost none

The difference supports consistency as a cause of minority influence under these controlled conditions. Standardised slides and responses make the conditions comparable and replicable. However, an artificial colour task, female US student sample, deception and the small public response shift limit generalisation and do not directly measure lasting private conversion.

The study shows a minority can influence a majority, not that consistency guarantees conversion or that 8.42% of participants converted; the percentage refers to responses.

Burger (2009): obedience with modern safeguards

Burger asked whether Milgram-like obedience would still occur while reducing ethical risk. Seventy adults aged 20-81 were selected through a two-stage screening process; participants with relevant psychological or medical risks were excluded and were reminded repeatedly that they could withdraw.

In the base condition, a participant acting as teacher used an apparent shock generator after a confederate learner's errors. The procedure stopped at 150 V, the point at which Milgram's learner first strongly protested. In a modelled-refusal condition, another apparent teacher refused after 90 V before the real participant continued.

In the base condition, 70% continued past 150 V. The modelled refusal did not produce a clear reduction. The result suggests substantial obedience remained at the comparable decision point, but stopping early means it cannot show how many would have reached 450 V.

Standardisation supports reliability and comparison, and screening, a clinical psychologist, withdrawal reminders and an early stopping point reduced risk. Yet volunteers who passed screening were selective, the laboratory shock task lacked everyday realism, deception and distress remained, and the safeguards limit a direct replication claim.

Yi Huang et al. (2014): how long conformity lasts

Yi Huang et al. tested whether other people's opinions leave a lasting change in private judgement. Seventeen Chinese university students rated the attractiveness of 280 neutral-expression photographs of young Chinese women on a computer.

After each initial rating, participants saw an alleged average rating from 200 peers; on most trials it was experimentally set above or below their own. The faces were rated again after delays without showing the peer rating, so later movement toward the earlier group value could be measured without immediate public pressure.

Judgements shifted toward the group opinion shortly after exposure, but the effect was no longer detectable after three days. This supports a short-lived internal influence rather than an indefinitely stable conversion.

Computer presentation and many stimuli standardised exposure and reduced the effect of any one face. However, a very small Chinese student sample, an artificial attractiveness task and fabricated peer ratings limit population and ecological validity; repeated faces may also create memory or demand effects.

The finding concerns ratings in this task and time window. It does not establish that every form of conformity lasts no more than three days.

Haun et al. (2014): peers change children's choices

Haun et al. compared whether children and other great apes would abandon a previously rewarded choice after seeing peers choose differently. The sample contained 18 children, 12 chimpanzees and 12 orangutans.

Participants learned which of three coloured sections of a box delivered a reward, reaching a preference criterion on 8 of 10 trials. They then watched three demonstrators choose a different section twice and receive rewards. On three further rewarded choices, researchers recorded whether participants kept their preference, followed the majority or chose elsewhere.

Children were more likely than the apes to switch to the peer-endorsed option, whereas chimpanzees and orangutans usually retained the choice that had worked for them. The comparison suggests that human children are especially responsive to majority information in this setting.

A common apparatus, criterion and video coding support comparison and reliability. But small, age- and species-specific samples limit generalisation; the task may not have equal meaning across species, and copying demonstrators can reflect social learning rather than conformity to group pressure.

The study does not show that apes never conform or that children always abandon knowledge. It measures choice after a particular peer demonstration and reward history.

Conducting the social psychology questionnaire practical

The practical must use a questionnaire to collect both quantitative and qualitative data about a social-psychology difference, while linking every design, analysis and ethical decision to the stated aim.

Stage Required decision and record
Aim and hypothesis operationalise the comparison, such as self-reported obedience by gender or conformity across scenarios
Questionnaire combine suitable closed/ranked items with open items; avoid leading, ambiguous or double-barrelled wording; pilot and revise
Sample and ethics justify sampling, gain valid consent, protect withdrawal, privacy and wellbeing, and manage foreseeable risk
Quantitative analysis choose mean/median/mode and range/standard deviation as appropriate; present a labelled summary/frequency table and bar chart/histogram
Qualitative analysis code open responses, develop and check themes, then support them with brief anonymised extracts
Report write a replicable procedure, factual results and a discussion that interprets findings and evaluates strengths, weaknesses and improvements

Standardise instructions and conditions, record non-response and missing data, and keep raw data securely. Improvements must target a demonstrated limitation: for example, clearer piloted wording improves validity, while a more representative sample improves generalisability.

Self-reports measure what participants say about likely obedience or conformity, not their actual behaviour. Do not claim causation from a questionnaire comparison, and do not invent results before data are collected.