WACE Psychology common mistakes
WACE Psychology · Understand the traps and how to avoid them.
When asked to explain how a neurotransmitter or hormone influences behaviour, the candidate writes only that it 'affects mood' or 'causes aggression', with no statement of the mechanism (release, receptor binding, reuptake, or negative feedback) and no link back to the specific behaviour in the question.
Students memorise labels such as 'serotonin' or 'cortisol' as vocabulary items and revise definitions rather than processes, so under time pressure they substitute a vague outcome for the causal chain the marking key rewards.
What to do instead
Practise a fixed three-step template: name the substance and its normal role, state the change (excess, deficit, blocked reuptake, receptor downregulation), then state the behavioural consequence. Write one full three-step paragraph per biological term you revise and check that each sentence names a mechanism, not just an effect.
When a question asks for an evaluation of a biological explanation, the candidate lists strengths and weaknesses that are generic ('it is scientific', 'it is reductionist') without tying them to the specific explanation, and without offering a counter-argument or a conclusion.
Evaluation is often studied as a bank of stock phrases, so candidates reproduce them regardless of the topic and never practise the move from a point to evidence to a judgement.
What to do instead
Use a point-evidence-link-judgement structure for each evaluation paragraph: state the criticism, cite a specific study or finding, explain what that means for the explanation, and end with a weighing sentence. Rehearse with one explanation (for example, a neurotransmitter account of a disorder) until the judgement sentence comes automatically.
On multi-store or working memory questions, the candidate describes the components of the model but cannot apply it, so when given a scenario (a student revising while listening to music) they restate the scenario instead of identifying which store, capacity, or control process is implicated.
Models are learned as diagrams to be labelled rather than as tools for interpreting behaviour, and candidates have rarely practised transferring the model onto unfamiliar everyday examples.
What to do instead
For each model, prepare three novel scenarios and write a short analysis naming the store, its capacity and duration, and the process (encoding, rehearsal, retrieval) involved. Practise the sentence frame 'In this scenario, X is being used because Y, which the model predicts will lead to Z'.
When describing a memory experiment, the candidate confuses independent and dependent variables, or reports a result as 'proving' a theory rather than as supporting or failing to support it, and omits the direction of the difference.
Statistical and design vocabulary is learned in the research methods unit and not integrated with content units, so candidates switch into a loose descriptive mode as soon as they write about a memory study.
What to do instead
After every study you revise, write one sentence identifying the independent variable, the dependent variable, the direction of the result, and the strength of the conclusion ('supports but does not prove'). Build a one-page table of studies with these four columns and test yourself on it.
In developmental questions, the candidate names a stage or age range (for example, 'concrete operational, ages seven to eleven') but gives no behavioural criteria for that stage, and treats ages as fixed cut-offs rather than approximate markers with individual variation.
Stage theories are memorised as timelines, so the qualitative change in reasoning that defines each stage is skipped, and candidates do not distinguish the stage claim from the age claim.
What to do instead
For each stage, write a one-line description of the characteristic reasoning and a novel task the child could and could not do. Add a standard sentence acknowledging that ages are approximate and that transition is gradual, and use it whenever a question asks about age.
When asked to evaluate a developmental research design (cross-sectional, longitudinal, or twin study), the candidate describes what the design is instead of evaluating it, and does not mention cohort effects, attrition, practice effects, or time and cost.
Candidates conflate 'describe' and 'evaluate' command words and have not linked each design to its characteristic threats to validity.
What to do instead
Build a comparison table with rows for cross-sectional, longitudinal, and twin designs and columns for what it measures, main threat to validity, and practical cost. Practise answering the same question twice, once as describe and once as evaluate, so the difference in what you produce becomes explicit.
On conformity and obedience questions, the candidate describes the procedure of a classic study in detail but cannot explain why participants behaved as they did, and does not distinguish normative from informational influence or mention the ethical costs of the original research.
Classic studies are revised as narratives with memorable details, so the explanatory constructs and the ethical debate are treated as separate topics rather than as the point of the study.
What to do instead
For each classic study, write three lines: the social influence mechanism it demonstrates, the situational variable that changed the rate of conformity or obedience, and one ethical cost with its consequence for participants. Practise explaining a result using the mechanism rather than the procedure.
When discussing attribution, the candidate labels a bias correctly but misapplies it, for example calling an actor's own explanation of their behaviour a fundamental attribution error when it is a self-serving or actor-observer pattern, or ignoring the role of culture and situational constraint.
The biases are learned as a list of names with one example each, so candidates pattern-match on the label rather than on who is judging whose behaviour and under what constraint.
What to do instead
Draw a two-by-two grid of actor versus observer and positive versus negative outcome, and place each bias in its cell with a fresh example. Before answering, identify who is making the attribution and whether the outcome reflects on them, then choose the bias.
In data-interpretation questions, the candidate reads individual data points or describes the shape of a graph without stating what the pattern means for the hypothesis, and does not comment on variability, sample size, or whether a difference is meaningful.
Graph reading is treated as a literal description task, and candidates have not practised moving from 'what the data show' to 'what can be concluded', which is where the marks sit.
What to do instead
Use a three-sentence routine for any data display: state the overall pattern with numbers, state the variability or overlap between groups, then state the conclusion and one limitation. Rehearse on unfamiliar tables and graphs rather than only on ones from your textbook.
When defining abnormality, the candidate lists the criteria (statistical rarity, deviation from social norms, failure to function adequately, deviation from ideal mental health) without evaluating them, and then applies a diagnosis to a scenario without considering cultural context, duration, or distress.
Definitions are memorised as a set of headings, and the diagnostic categories are learned separately from the critical issue of how abnormality is defined, so the two never connect in an answer.
What to do instead
For each definition, write one strength and one limitation with a concrete counter-example, then apply at least two definitions to the same scenario and state which is more defensible and why. Always include duration, distress, and cultural context when judging a case.