How to write a 16-marker for AQA A-Level Psychology

  1. Plan the AO1/AO3 split first - For a 16-mark AQA Psychology essay, roughly 6 marks reward AO1 (description) and 10 reward AO3 (evaluation). A two-minute plan listing 3-4 evaluation points before writing prevents the answer drifting into pure description, which is the most common way marks are lost.

  2. Write a tight AO1 paragraph - Cover the theory or study accurately and concisely - enough to demonstrate knowledge, without spilling into evaluative language. Named studies, key terminology, and procedure/findings (where relevant) belong here. This section should be the shortest part of the essay relative to its mark weighting, it should be around 150-200 words.

  3. Build each AO3 point as a full chain - Each evaluation paragraph should follow point, evidence/reasoning, and an explicit link back to the question or claim being evaluated. Stopping after the evidence without stating what it means for the theory's validity, application, or explanatory power is the single most common way a chain loses marks at A* level.

  4. Include a counterargument or limitation - Strong answers set a strength against a weakness, or note a contradictory study, rather than stacking one-directional points. This shows the ability to weigh evidence, which examiners reward at the top band.

  5. Use research and methodological evaluation, not just theoretical - Alongside points about the theory itself, weave in evaluation of the supporting research - sample characteristics, ecological validity, extraneous variables, ethical issues, or replication - where it directly bears on the argument, rather than as a bolted-on final paragraph.

  6. Check timing and word discipline - In exam conditions, roughly 20 minutes for a 16-marker keeps pace across the paper. Over-length AO1 at the expense of AO3 is a frequent time-management error worth checking for in practice essays.

Here is an example of an A* 16-Marker:

Asch’s (1956) conformity study identifies three factors that affect the extent to which people conform to others' opinions. The experiment involved 123 male American undergraduate students who were presented with four lines: three comparison lines and one standard line. They were asked to state which of the three lines was the same length as the standard line. The real participant always answered last or second-to-last after hearing the confederates give their responses. On 12 out of the 18 trials (known as the critical trials), confederates unanimously gave the same incorrect answer. Asch found that 75% of participants conformed on at least one critical trial, even when the correct answer was apparent. Crucially, the average conformity rate for the critical trials was 32%; this serves as a baseline for comparing the three factors affecting conformity.

The first factor affecting conformity was group size: an individual is more likely to conform in larger groups. The conformity rate for two confederates was 13%, and for three confederates, it was 32%. However, beyond four confederates, the rate of conformity plateaued. These findings can be explained by informational social influence: an individual is more likely to conform if all members agree, as their confidence in the group's correctness increases.

The second factor affecting conformity is unanimity; an individual is more likely to conform when the group’s answer is unanimous. When Asch introduced a dissenter, who always disagreed with the majority, conformity fell from 32% to 5.5%. Having the dissenter enables the naive participant to behave more independently and have confidence that their answer is correct.

Finally, the last factor of conformity is task difficulty, when Asch altered the length of the lines, making them similar to one another. Since it was harder to judge the correct answer, conformity increased. When a task is difficult, we are more uncertain of the answer, so we look to others for confirmation, suggesting that informational social influence is a major mechanism for conformity.

Research support for task difficulty comes from Lucas et al. (2006), who found that individuals were more likely to conform to the incorrect answers of the previous participants when the mathematical questions were more difficult. This is consistent with Asch’s findings. However, Lucas et al. also found that participants with greater maths confidence conformed less, suggesting task difficulty is not purely a situational factor. This challenges an oversimplified situational account of conformity, suggesting that personal factors must be considered alongside situational factors when explaining factors of conformity

Furthermore, Asch’s study is criticised for lacking temporal validity by Perrin and Spencer (1980), who claimed that the results of the study had been influenced by the time period it was conducted in. At the time of Asch’s conformity study, the USA was very conservative and gripped by McCarthyism (a period of anti-communist hunts). In turn, individuals faced serious consequences for standing out or behaving independently. This cultural climate may have made participants unwilling to deviate from the majority. Consequently, Asch’s findings on the factors that affect conformity may not be applicable to contemporary society.

However, this criticism of Asch’s study is challenged by a 2023 replication conducted by the University of Bern. They found that the conformity rate was 33%, which is almost identical to Asch’s original findings, suggesting that the tendency to conform to the majority is not limited to the cultural climate of 1950s America. As a result, this strengthens the temporal validity of Asch’s findings and implies that the factors that affect conformity are applicable to modern society.

Despite evidence of temporal validity, Asch’s findings may lack population validity because the sample consists entirely of American male undergraduate students. There is a possibility that Asch’s all-male sample overestimated the true extent of conformity. When Neto (1995) replicated Asch’s study using female participants, he found that 59% conformed at least once on the critical trials, which highlights that woman conformed less than Asch’s male sample. Compared to Asch’s original figure of 75% this indicates that gender does influence the extent of conformity. This suggests that Asch’s factors of conformity may not operate in the same way across genders

Rationale behind 15/16 mark for this essay:

Rationale:

This is a high-quality Level 4 response. AO1 is detailed, accurate, and well-structured, with appropriate use of specific figures and theoretical concepts (ISI). AO3 features multiple well-developed evaluative points, including counter- arguments and chains of reasoning that consistently return to the question. The answer is coherent, focused, and uses specialist terminology accurately throughout. Minor room for further development — for instance, the group size explanation could have explored social impact theory or why conformity plateaus - prevents a full 16.

Knowledge & Understanding (AO1):

The answer demonstrates detailed and accurate knowledge of Asch's original procedure, including specific figures (123 participants, 18 trials, 12 critical trials, 32% baseline conformity rate). The three factors - group size, unanimity, and task difficulty - are clearly identified and explained with accurate supporting figures (e.g., 13% for two confederates, 5.5% with a dissenter). ISI is correctly invoked to explain the mechanisms. The baseline conformity rate is usefully contextualised throughout. Knowledge is well- employed and clearly focused on the specific demands of the question.

Analysis & Evaluation (AO3):

Evaluation is thorough and well-developed. Lucas et al. is used effectively to both support and extend Asch's findings, with a perceptive point about individual differences challenging a purely situational account. The temporal validity critique via Perrin and Spencer is well-contextualised with reference to McCarthyism. Crucially, this is then counter-argued with the 2023 University of Bern replication, showing a sophisticated dialectical structure. The population validity point via Neto (1995) is relevant and thoughtfully developed. All evaluative points are clearly tied back to the question's focus on factors affecting conformity.