PSYC10003 · Mind, Brain and Behaviour 1
Exam Technique: The 100-Item MCQ Across Four Domains
The Week 12 revision synthesis: how to prepare for a 100-item, 2-hour multiple-choice exam whose four content areas each count for 25%, so no strand can be neglected. It rehearses the highest-yield MCQ traps across learning, memory, neuroscience, perception and research methods, teaches distractor-elimination technique, and sets a pacing plan of roughly 25 items per area. This closing chapter turns the whole guide into an exam-day method rather than adding new content, and it grounds revision in the Week 12 material and practice quizzes.
What this chapter covers
- 01Exam structure: 100 items, 2 hours, four areas equally weighted 25% (~25 items per area)
- 02The four blocks: Learning & Cognition, Behavioural Neuroscience, Sensation & Perception, Research Methods
- 03Findings are tested, not names/dates — revise each study as 'what it showed'
- 04High-yield traps: reinforcement vs punishment; STM vs working memory; imaging-method matching; two-stage colour theory
- 05Distractor elimination: rule out clearly wrong options, then decide between the near-misses
- 06Negatively-worded and 'best answer' stems: read the stem twice, watch for NOT/EXCEPT
- 07Pacing ~25 items per area; flag-and-return rather than stalling
- 08Even coverage: the four-way weighting means no strand can be skipped
Four high-yield MCQ traps, one per strand
- +1(i) Removing an unpleasant stimulus to increase a behaviour is negative reinforcement. The trap is reading 'negative' as punishment — but the behaviour goes up, so it must be reinforcement.
- +1(ii) Causal evidence comes from stimulation/lesion methods such as TMS (a temporary 'virtual lesion'), not from fMRI. The trap is choosing fMRI, which measures the BOLD signal and is only correlational.
- +1(iii) Adapting to green then viewing white yields a red negative afterimage (the opponent partner). The trap is answering 'green' — the afterimage is always the opponent colour, explained by opponent-process theory.
- +1(iv) For skewed or outlier-heavy data, report the median, which is robust to extremes. The trap is the mean, which is pulled toward the tail by outliers and skew.
Key terms
- Exam blueprint
- The 100-item, 2-hour multiple-choice paper split evenly across four strands — Learning & Cognition, Behavioural Neuroscience, Sensation & Perception and Research Methods — each contributing 25% (about 25 items).
- Distractor elimination
- The technique of first ruling out clearly incorrect options to narrow a multiple-choice item to the plausible candidates, then deciding between them on the specific distinction being tested.
- Negatively-worded stem
- A question containing NOT or EXCEPT, where the correct answer is the false or non-applicable option; reading the stem twice prevents the common error of picking a true statement.
- Flag-and-return
- A pacing tactic of marking a hard item and moving on rather than stalling, so that all easily earned marks across the four areas are secured before time runs low.
- Findings-over-names
- The exam principle that studies are tested by what they demonstrated, not by their authors or dates, so revision should convert each classic study into a one-line 'what it showed'.
- Four-way weighting
- The equal 25% weighting of the four content areas, which makes even coverage essential — neglecting one strand forfeits a full quarter of the paper.
Exam Technique: The 100-Item MCQ Across Four Domains FAQ
How should I split my time in the exam?
Because the four areas are equally weighted at about 25 items each over 2 hours, aim for a steady pace of roughly one item per minute and check you are a quarter through the paper at each quarter of the time. Use flag-and-return so a hard neuroscience item never eats the time you need for easy research-methods marks.
What are the most common traps?
The recurring ones are: reading 'negative reinforcement' as punishment; confusing short-term memory (passive store) with working memory (active manipulation); choosing fMRI when the question asks for causal evidence (that is TMS/lesion); answering an afterimage question with the adapting colour instead of its opponent; and computing a mean for skewed or ordinal data instead of the median. Each is a single, drillable distinction.
Do I need to memorise study names and dates?
No — the exam tests findings, not names and dates. Revise each landmark study as 'what did it show and what does that prove' (for example, that the flicker paradigm demonstrates attention is needed to detect change), because stems typically describe a study and ask what it found.
How do I handle negatively-worded or 'best answer' items?
Read the stem twice and underline NOT or EXCEPT mentally; for those items you are looking for the false or non-applicable option. For 'best answer' items where several options are partly true, decide which distinction the question is really testing and pick the option that matches it most precisely.
How is this different from studying one strand at a time?
Week 12 is about integration and technique, not new content. The value is in mixing strands so you practise switching between, say, an operant-conditioning item and a JASP-interpretation item the way the real paper forces you to, and in rehearsing the distractor-elimination habit under time pressure.
Exam move
Use this chapter to convert knowledge into exam marks. Build a single sheet of the highest-yield distinctions — reinforcement vs punishment, STM vs working memory, correlational vs causal methods, the two-stage colour theory, mean vs median — and drill mixed four-strand practice sets so you can switch domains quickly. Revise each classic study as a one-line finding, not a date. Rehearse pacing (about 25 items per area, flag-and-return) and the habit of naming the distinction an item tests before reading the options. Cover all four strands evenly through SWOTVAC, because the equal weighting means the fastest way to lose marks is to neglect a domain. Confirm the exam date, room and open/closed-book status on Canvas and the University of Melbourne exam timetable.
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