The AO1 spine: aim to conclusion
Aim: does perceived size depend on stored knowledge, and are size and distance independent? Procedure: from memory, familiar objects are sorted token invariant/variant; then in a field, adult male students judge real objects at a range of distances for both size and distance. Results: token invariant accurate, token variant and unfamiliar less so, distance accurate for all even when size fails. Conclusion: size comes from prior knowledge; size and distance are independent.
Token invariant vs token variant
Token invariant: every example is about the same size (bicycle, door, can), so memory holds the size — judged accurately. Token variant: examples differ widely (bush, building, window), so the name tells you nothing about size — judged less accurately. Unfamiliar shapes, no stored size, judged least accurately. Define each term by whether the examples vary, not by familiarity: a bush is familiar yet token variant.
A balanced pair of strengths and weaknesses
Both sides are needed to reach the top band. Strengths: estimates scored against the object's real measured size (objectivity); real objects at real distances give strong ecological validity; two tasks agreed. Weaknesses: a narrow sample of adult male students limits generalisability; sorting the objects was subjective; a field cannot control light or weather; estimating in centimetres is a learned skill, so a good perceiver may report poorly (validity).
Drawn from real examiner reports.
Swapping token variant and invariant
The most reported error: candidates attach the labels the wrong way round, stating the opposite of the finding. Token invariant objects (examples the same size) were judged accurately; token variant objects less accurately. Fix: invariant means does not vary, so memory holds the size; define by variation, not familiarity — a bush is familiar yet variant.
Recorded directly against this study, where candidates swapped the two terms (June 2024 P2 Q25; June 2023 P2 Q25).
Giving a result when a conclusion is asked
A result is what was observed; a conclusion is what researchers infer. Asked for a conclusion, do not restate it. Result: token invariant judged more accurately than variant. Conclusion: perceived size comes from stored knowledge — or, since distance held when size failed, the two are independent. Rule: if you could write it from the numbers alone, it is a result.
A result offered where a conclusion was asked for scores zero (June 2023 P2 Q1f; June 2024 P1 Q5a; June 2024 P1 Q11a).
Naming a strength without justifying it
'Explain a strength' is not 'describe' one: naming the feature is step one. Use point, why, consequence — name a feature (estimates compared with objects' real measured sizes), say what it does (accuracy did not rest on opinion), then what it means (objectivity rises, so the gap between object types is not a scoring artefact). Naming alone stays in the lowest band.
Identification without justification is recorded on strength and weakness items (June 2024 P1 Q11b; June 2024 P1 Q15b; June 2023 and June 2024 P2 Summaries).
Giving a weakness when asked to improve
An improvement question is not a weakness question. Saying 'the sample was narrow' identifies a weakness; the improvement is what you would change — for example testing a wider range of participants (women, children, varied visual experience) so the finding generalises. State the change and what it fixes, not the flaw restated.
Improvement items answered with a weakness are recorded across sittings (June 2019 P2 Q3c; June 2024 P1 Q5b; June 2024 P1 Q18b).
A describe needs two genuinely unique points
A two-mark 'describe' needs two different points; the same finding reworded scores one. 'Invariant more accurate than variant' said both ways is one finding twice. Keep four ready: memory result, field result, unfamiliar worst, distance accurate regardless. On describe the difference, two side-by-side definitions score one — a connective (whereas) earns the second.
Two unique points are required (June 2023 P2 Q22); a difference given as two definitions with no connective loses the second mark (June 2019 P1 Q6; June 2022 P1 Q7).
Answer with the study, not Gregory or Gibson
When a question names this study, the marks are for its aim, procedure, results or conclusions — not for Gregory's Constructivist Theory or Gibson's Direct Theory (which are themselves widely muddled with each other). Haber and Levin can serve as evaluation evidence about prior knowledge, but 'use the study' must be answered with the study.
The theory-for-study substitution is recorded (June 2019 P2 Q13), and the Gregory and Gibson muddle at June 2019 P2 Q25.
Distance was judged WELL, not badly
Often misread as if both are unreliable. The opposite holds for distance: it was accurate for every object, even when size was judged badly. If size came from distance, good distance would give good size; it did not, so the two are independent. (Relative size is also misread: not 'smaller is always further', but the smaller image of two equal objects looks further.)
Relative size answered as small meaning always further away is recorded at June 2019 P2 Q23.
Do the AO2 first, and make it specific
AO3 cannot be awarded without AO2: evaluation with no scenario link scores nothing. A name is not application, nor is repeating the stem. Application ties the scenario's detail to the mechanism — it was a bush, bushes vary in size, so memory held no stored size to draw on.
Reach the 7-9 band with AO3 and balance
On the 9-mark Assess the top band is limited almost entirely by missing AO3 and missing balance, not by knowledge — so plan a strength and a weakness before you start. Write continuous prose: bullet-pointed extended answers are not accepted.
Make the evaluation about THIS study
'It was a field study so it has ecological validity' fits almost any study and earns nothing — generic answers get no credit. Name what this study did: real objects at real distances in an open field, judged with everyday depth cues, not flat drawings on a screen.
Token invariant object — an object where every example of that kind is about the same size, so knowing what it is already tells you how big it is. A bicycle, a door, a drinks can.
Token variant object — an object where examples of the same kind differ widely in size, so knowing what it is does not tell you how big it is. A garden bush, a building, a window.
Size perception — judging how big an object is.
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