2026 Cambridge IAL Psychology (9990) 模拟试题及答案详解

(a) Participants in the doodling group were given an A4 sheet with alternating rows of ten shapes (squares and circles) and a wide margin for recording target names. They were explicitly instructed to shade in the shapes and told that 'it doesn't matter how neatly or how quickly you do this, it is just to pass the time' while listening to the mock telephone message, to avoid them feeling self-conscious about their doodling.

(b) Ronald could apply Andrade's findings by engaging in structured doodling (e.g., lightly shading geometric patterns or repetitive shapes on paper) during the monotonous chemistry lectures. Doodling acts as an optimal secondary task that maintains physiological arousal and prevents the brain from daydreaming (mind-wandering), which would otherwise consume greater executive cognitive resources. By preventing daydreaming without excessively dividing his processing capacity, doodling will help Ronald maintain sustained attention to the verbal audio input and enhance his recall of key lecture information.

(a) [2 marks total]
1 mark for identifying the task materials/instructions (e.g., shading printed shapes: circles and squares on an A4 sheet).
1 mark for noting the specific instructional framing/justification (e.g., told it was simply to relieve boredom/pass the time, no requirement for neatness/speed).

(b) [2.75 marks total]
1 mark for a direct practical suggestion linked to doodling (e.g., Ronald shading shapes/drawing repetitive patterns while listening to the lecture).
1 mark for psychological justification referencing Andrade's theory/findings (e.g., doodling prevents daydreaming / sustains optimal arousal / aids information processing).
0.75 marks for clear contextual application to Ronald and chemistry lecture recall (e.g., retaining names, terms, or key facts without overloading executive resources).

(a) Victims in the 'ill' condition (carrying a black cane) received spontaneous help much more quickly (median latency of 5 seconds) compared to victims in the 'drunk' condition (carrying a liquor bottle in a brown paper bag, smelling of alcohol), who experienced a much longer latency before receiving help (median latency of 109 seconds across trials without early model intervention).

(b) Piliavin et al.'s findings support a situational explanation because bystanders' likelihood and speed of helping were directly determined by external features of the immediate environment and situational cues, rather than fixed personal traits of the individual passengers. Specifically, the situational cue of the victim's perceived fault/cost-reward payoff (ill carrying a cane vs drunk carrying alcohol) and physical confinement in the moving subway car produced near-universal spontaneous assistance (overall 93% spontaneous helping across trials), demonstrating that situational pressures and cost-benefit calculations govern prosocial action.

(a) [2 marks total]
1 mark for identifying that the ill victim received help much faster / with shorter latency than the drunk victim.
1 mark for supporting quantitative detail or comparative context (e.g., ill victim median latency was 5 seconds vs 109 seconds for drunk victim, or ill victim received spontaneous help on 100% of cane trials without model intervention vs 75% for drunk).

(b) [2.75 marks total]
1 mark for clear definition/distinction of a situational explanation (behaviour driven by external environmental context/cues rather than internal personality traits).
1 mark for specific study evidence linked to the debate (e.g., variation in helping based on the cane vs bottle condition, or confinement in the carriage producing high overall helping rates).
0.75 marks for explicit link explaining how this evidence shows situational factors override individual differences.

(a) Wheeled toys: wagon, truck (or car, construction vehicle). Plush toys: Winnie-the-Pooh, ragdoll (or turtle, koala, armadillo, Scooby-Doo).

(b) Hassett et al.'s findings strongly support the nature side of the debate. Male rhesus monkeys showed a significant preference for wheeled toys over plush toys (similar to human boys), whereas female rhesus monkeys did not show a significant preference for plush toys over wheeled toys, interacting with both. Because these non-human primates have not undergone human cultural gender socialisation, parental marketing pressures, or cognitive gender stereotyping (nurture), their toy preferences must be influenced by innate biological mechanisms (nature), such as prenatal androgen exposure affecting behavioural predispositions and neural development.

(a) [2 marks total]
1 mark for correctly identifying two wheeled toys (e.g., wagon, truck, car, police car).
1 mark for correctly identifying two plush toys (e.g., Winnie-the-Pooh, ragdoll, turtle, teddy bear, Scooby-Doo).

(b) [2.75 marks total]
1 mark for describing the nature argument in relation to innate/biological factors (e.g., prenatal androgens/hormonal influences).
1 mark for citing specific monkey preference data (e.g., male monkeys preferentially selected wheeled toys while females interacted with both).
0.75 marks for explicit justification why this refutes/rules out nurture (e.g., monkeys lack human socialisation, media advertising, or parental expectations, demonstrating biological origin).

(a) The Feelings Thermometer was a 9-point self-report distress rating scale ranging from 0 (no distress/fear at all) to 8 (maximum distress/fear). The boy used it to rate various types of buttons and scenarios involving buttons (such as small plastic buttons or buttons falling on him), which allowed researchers to construct a bespoke hierarchical rating of stimuli from least to most distressing.

(b) A clinician could use imagery exposure therapy by pairing disgust-related and fear-related cognitive visualisations with positive cognitive restructuring. The clinician would ask Meera to close her eyes and vividly imagine different zipper-related scenarios (e.g., imagining hundreds of metal zippers touching her or zipping up a jacket smoothly) while guiding her to identify what feels disgusting about them. During this visualisation, the clinician prompts Meera to replace catastrophic thoughts with calming self-talk and coping statements (e.g., 'zippers are safe and cannot hurt me'). Distress levels would be monitored before, during, and after imagery sessions until her subjective ratings decrease.

(a) [2 marks total]
1 mark for describing the scale format/range (e.g., 9-point scale / 0 to 8 Likert-style scale measuring distress/disgust).
1 mark for explaining its operational use (e.g., used by the child to rank specific button stimuli hierarchically from least distressing to most distressing).

(b) [2.75 marks total]
1 mark for detailing in vivo / imagery exposure technique (e.g., imagining metal zippers falling on her or touching them in her mind).
1 mark for pairing imagery with cognitive reframing / positive self-talk / self-control strategies to address evaluative disgust.
0.75 marks for clear contextual application to Meera and her zipper phobia, including monitoring reduction in distress scores.

(a) In target-absent line-ups, child witnesses made significantly more false positive identifications (falsely selecting an innocent foil as the culprit) than adult witnesses, who were far more likely to correctly reject the line-up by stating the target was not present.

(b) Recommendation 1: Provide explicit, repeated instructions that the actual culprit may or may not be in the line-up, and include a clear, salient 'not present' option (such as a silhouette or mystery figure with a question mark) because children feel social pressure to select someone.
Recommendation 2: Use video/photographic presentation formats with familiarised foil rejection criteria and ensure the interviewer is neutral and explicitly reinforces that choosing 'not present' is a completely valid and acceptable answer, counteracting children's cognitive bias towards making a forced positive identification in target-absent conditions.

(a) [2 marks total]
1 mark for stating that children had higher false positive rates than adults in target-absent line-ups.
1 mark for elaboration/comparison (e.g., adults were significantly more accurate at correctly rejecting target-absent line-ups, whereas children struggled to identify that the culprit was missing).

(b) [2.75 marks total]
1 mark for first practical recommendation linked to study findings (e.g., providing a visible/explicit 'not there' option or mystery silhouette).
1 mark for second practical recommendation linked to study findings (e.g., explicitly instructing that the culprit may not be present to reduce social compliance/guessing).
0.75 marks for context/link to reducing false positives in child eyewitness identification scenarios.

(a) Two brain structures: the hippocampus (left hippocampus) and the amygdala (or temporo-parietal junction / posterior cingulate cortex / cerebellum).

(b) Corporate organisations can introduce an 8-week Mindfulness-Based Stress Reduction (MBSR) program for employees experiencing high work-related stress. Hölzel et al. demonstrated that participating in an 8-week MBSR program leads to structural neuroplasticity, specifically increases in grey matter concentration in brain regions associated with memory and emotion regulation (such as the hippocampus) and decreases in grey matter density in the amygdala, which correlated with reductions in perceived stress. By implementing daily guided meditation and body scans at the workplace, employees can experience objective neurobiological benefits that improve emotional regulation, reduce burnout, and decrease subjective workplace stress.

(a) [2 marks total]
1 mark each for any two named brain structures correctly identified from the study (e.g., hippocampus, amygdala, temporo-parietal junction, posterior cingulate cortex, cerebellum / brainstem).

(b) [2.75 marks total]
1 mark for proposing a structured intervention based on the study (e.g., implementing an 8-week MBSR/mindfulness course with regular practice sessions).
1 mark for linking to physiological/neurobiological findings from Hölzel et al. (e.g., changes in amygdala/hippocampus grey matter related to stress reduction and emotion regulation).
0.75 marks for clear contextual application to employees in high-stress corporate environments (e.g., reduced burnout, lower perceived stress scores).

(a) The clicker acted as a conditioned (secondary) reinforcer by being paired repeatedly with a primary reinforcer (food rewards such as chopped fruit/bananas). When the elephant performed the correct target behavioural sub-goal (e.g., presenting a foot or ear through the bar), the trainer sounded the clicker immediately to signal precise acoustic feedback that the behaviour was correct and that a primary reward was coming.

(b) The study strictly adhered to the ethical guideline of minimising animal pain and distress (and using positive reinforcement rather than aversive techniques). Traditional elephant management often involved negative reinforcement or physical punishment (such as bullhooks). In contrast, Fagen et al. utilised entirely positive reinforcement training (PRT) within a protected contact environment. Elephants participated voluntarily, were never punished or food-deprived if they failed to perform a task, and were trained to willingly cooperate in veterinary inspections (like trunk washes and foot care), thereby reducing future physical stress and risk of injury without inflicting pain or suffering.

(a) [2 marks total]
1 mark for explaining that the clicker was paired with the primary reward (food/bananas) to become a secondary/conditioned reinforcer.
1 mark for explaining its immediate bridging function (providing precise, instantaneous auditory feedback at the exact moment the desired behaviour occurred).

(b) [2.75 marks total]
1 mark for identifying a relevant animal ethical guideline (e.g., minimising harm/distress, avoiding aversive stimuli/punishment, housing/welfare).
1 mark for specific procedural evidence from Fagen et al. (e.g., using positive reinforcement / rewards instead of bullhooks / forced restraint; voluntary participation).
0.75 marks for fully explaining how this practice protected the welfare of the elephants and improved veterinary husbandry.

(a) In the computerised CID paradigm, participants sat at a screen and saw an animated figure in the centre representing themselves and another figure or object approaching from the perimeter along various angles. Participants were instructed to press the spacebar to stop the approaching figure at the point where they began to feel uncomfortable with the closeness, and the remaining distance between figures was recorded as the measure of preferred personal space.

(b) Perry et al. found that individuals with high trait empathy (measured via the Interpersonal Reactivity Index) preferred smaller interpersonal distances, especially when feeling socially bonded or in supportive social conditions, whereas individuals with low trait empathy required significantly larger personal space buffers to feel comfortable. Sarah could apply these findings by designing flexible office layouts with differentiated zones: providing closer, collaborative communal desk arrangements for high-empathy teams who thrive on close social proximity, while offering wider spatial buffers, partition dividers, or larger desk spacing for employees who prefer greater interpersonal distance, thereby reducing social discomfort and optimising productivity.

(a) [2 marks total]
1 mark for describing the basic computer task layout (animated figure at centre representing participant and another figure/stimulus approaching from outside).
1 mark for explaining the participant response measure (pressing a key/spacebar to stop approach when uncomfortable; measuring residual distance).

(b) [2.75 marks total]
1 mark for accurately identifying the relationship between empathy traits and preferred distance (e.g., higher empathy correlates with smaller preferred distance / lower empathy requires larger boundaries).
1 mark for practical spatial recommendation (e.g., providing modular desk layouts / zoned spacing based on interpersonal comfort needs).
0.75 marks for clear contextual application to Sarah, open-plan office design, and employee comfort/workplace satisfaction.

similarity:
One similarity is that both studies were laboratory experiments that used highly standardised procedures and high levels of control to increase internal validity and replicability.
For example, Andrade standardised the mock telephone message (recorded at an even speed of 227 words per minute with standard audio quality), gave all participants identical A4 response sheets with printed shapes to shade in the experimental condition, and kept the testing room quiet and monotonous.
Similarly, Pozzulo et al. standardised the visual stimuli by showing all participants identical 6-second video clips of mock crimes, used identical photographic line-up arrays (1 target and 4 foils in target-present; 5 foils in target-absent) with matched clothing and appearance, and read identical, standardised verbal instructions to every participant prior to testing.

difference:
One difference is the use of deception regarding the true aim and nature of the testing.
In the study by Andrade, participants were deceived because they were originally told that they were taking part in a study testing memory/comprehension while listening to a recorded telephone call, and the recall test for names and places was a surprise test to prevent active rehearsal during the task.
In contrast, in the study by Pozzulo et al., participants were not deceived about the memory/identification task; they were explicitly told in advance that they would watch video clips and would then be asked to identify the perpetrator from photo line-ups, meaning they were fully aware of the nature and expectations of the identification task.

similarity (4 marks):
4 marks: Clear similarity identified with detailed and accurate explanation linking to both Pozzulo et al. and Andrade.
3 marks: Clear similarity identified with explanation linking to both studies (one in detail, one in brief, or both in moderate detail).
2 marks: Clear similarity identified with explanation linking to only one study, or brief/vague references to both.
1 mark: Identification of a similarity with no relevant study elaboration, or a generic methodological point.
0 marks: No creditable response (or answer refers to sample characteristics/sampling).

Credit can be given for similarities such as:
- Both were laboratory experiments with high levels of control/standardisation.
- Both collected objective, quantitative data (e.g., Pozzulo measured correct identification and false positive rates; Andrade measured the mean number of names and places correctly recalled and false alarms).
- Both investigate cognitive processes (e.g., memory and attention).
- Both lacked mundane realism / ecological validity in the experimental task.

difference (4 marks):
4 marks: Clear difference identified with detailed and accurate explanation linking to both Pozzulo et al. and Andrade.
3 marks: Clear difference identified with explanation linking to both studies (one in detail, one in brief, or both in moderate detail).
2 marks: Clear difference identified with explanation linking to only one study, or brief/vague references to both.
1 mark: Identification of a difference with no relevant study elaboration, or a generic methodological point.
0 marks: No creditable response (or answer refers to sample characteristics/sampling).

Credit can be given for differences such as:
- Deception / demand characteristics control (Andrade used a surprise recall test and deceived participants about the true aim to prevent rehearsal; Pozzulo gave clear, explicit instructions about the identification task).
- Experimental design / allocation (Andrade used an independent measures design comparing doodling vs control; Pozzulo included repeated measures elements where participants viewed multiple trials/conditions of target-present and target-absent line-ups).
- Nature of the stimulus modality (Andrade used auditory stimuli via a recorded telephone message; Pozzulo et al. used visual stimuli via video clips and photo arrays).

Note: If a candidate refers to the sample (e.g. number of participants, gender ratio, age, children vs adults) in either section, award 0 marks for that specific section.

(a) The observation is covert (or a covert non-participant observation) because the children are unaware of the researcher's presence behind a one-way mirror.

(b) An advantage of a covert observation is that it minimises participant reactivity and demand characteristics. Since the preschool children do not know they are being observed, they will not alter their behaviour to appear more polite or cooperative, thereby increasing the ecological and construct validity of the observed sharing behaviours.

(c) Operationalised behavioural categories must be distinct, observable, and directly measure sharing:
1. Offering a toy/material to another child (e.g., handing over a building block or crayon spontaneously).
2. Permitting another child to share play equipment (e.g., sliding over on a bench or handing over a swing after taking turns).

(a) [1 mark]: 1 mark for identifying covert (non-participant) observation.

(b) [2 marks]: 1 mark for basic advantage (e.g., reduces demand characteristics / natural behaviour); 1 mark for context (linking specifically to children's sharing behaviour/playtime).

(c) [2.75 marks]: 1 mark for each clearly operationalised, mutually exclusive behavioural category directly measuring sharing (up to 2 marks) + 0.75 marks for clear precision and measurability across both categories. (Max 2.75 marks).

(a) A repeated measures design is an experimental design in which every participant experiences all levels of the independent variable (in this case, reading under both fast-tempo and slow-tempo music).

(b) A key extraneous variable inherent to this design is order effects (fatigue or practice). For example, participants might perform better on the second comprehension test simply because they have practiced the testing format (practice effect), or worse because they become tired or bored (fatigue effect), confounding the effect of music tempo.

(c) Marcus can control for order effects using counterbalancing (an AB/BA design). He randomly allocates half of the students to read under fast-tempo music first and then slow-tempo music (Condition A then B), while the other half reads under slow-tempo music first and then fast-tempo music (Condition B then A). This ensures any practice or fatigue effect is distributed equally across both tempo conditions.

(a) [1 mark]: 1 mark for a complete definition of repeated measures (participants take part in all/both conditions).

(b) [2 marks]: 1 mark for identifying an order effect (fatigue/practice/boredom); 1 mark for linking to reading comprehension/music tempo context.

(c) [2.75 marks]: 1 mark for defining AB/BA structure / splitting sample; 1 mark for explicit contextual application (Group 1 does fast then slow, Group 2 does slow then fast); 0.75 marks for explaining the mechanism/outcome (balances/evens out order effects across conditions).

(a) Non-directional hypothesis: 'There is a significant correlation/relationship between the number of hours of daily screen time and self-reported sleep quality score (rated 1 to 10) in young adults.' (Both co-variables operationalised without specifying direction).

(b) A scatter graph (or scatter plot / scattergram) is the standard and appropriate graphical display to plot two continuous co-variables against each other.

(c) Correlations demonstrate an association between two co-variables but do not establish cause-and-effect. The researcher did not manipulate an independent variable under controlled conditions; therefore, an unmeasured third variable (such as high stress or academic workload) could cause both high screen time and poor sleep, or reverse causality may occur (poor sleepers use their screens more because they cannot sleep).

(a) [2 marks]: 1 mark for non-directional relationship stated; 1 mark for fully operationalised co-variables (hours of daily screen time and sleep score 1–10). Do not credit causal phrasing (e.g., 'screen time affects sleep').

(b) [1 mark]: 1 mark for scatter graph / scattergram / scatter plot.

(c) [2.75 marks]: 1 mark for identifying lack of IV manipulation / lack of controlled baseline; 1 mark for explaining third variable problem OR reverse causality; 0.75 marks for explicit contextual linkage to screen time and sleep quality.

(a) Quantitative data consists of numerical measurements (such as Likert scale scores from 1 to 5 indicating agreement), which can be summarised using descriptive statistics. Qualitative data consists of descriptive, rich text or narrative responses (such as open-ended explanations of why people feel uneasy about driverless buses).

(b) Example closed question: 'To what extent do you agree with the statement: "I would feel safe riding in a driverless bus during rush hour"?'
Response scale: 1 = Strongly Disagree, 2 = Disagree, 3 = Neither Agree nor Disagree, 4 = Agree, 5 = Strongly Agree.

(c) A weakness is social desirability bias or response sets. Participants may report that they are more open-minded or supportive of technological innovation than they truly are to appear progressive, or they might tick middle values without reading carefully, reducing the construct validity of the findings.

(a) [2 marks]: 1 mark for distinction in type of data (numerical vs descriptive/words); 1 mark for applying to Fatima's investigation of driverless transport.

(b) [1.75 marks]: 1 mark for an appropriate statement/question measuring attitude toward autonomous vehicles; 0.75 marks for providing a complete, fully labeled 5-point Likert scale.

(c) [2 marks]: 1 mark for identifying a valid weakness (e.g., social desirability bias / demand characteristics / forced choice limitations); 1 mark for explaining it in context of attitudes toward driverless vehicles.

(a) Opportunity (or convenience) sampling, because Samuel selects participants who are readily available and accessible to him at that moment in the library.

(b) Advantage: It is quick, straightforward, and economical, allowing Samuel to recruit participants rapidly without the need for pre-arranged participant pools or complex randomisation procedures.
Limitation: The sample is prone to researcher bias and sampling bias because only students who happen to be in the library at that particular time/day are chosen, excluding students who study at home or work elsewhere.

(c) Students found in a university library may possess atypical cognitive habits (e.g., higher baseline concentration, higher academic motivation, or an existing preference for quiet study) and represent a narrow age range (predominantly 18–22 years), meaning findings about noise and recall cannot be generalised to older adults or individuals in non-academic occupations.

(a) [1 mark]: 1 mark for opportunity sampling (or convenience sampling).

(b) [3 marks]: 1.5 marks for advantage (1 mark identification, 0.5 mark contextualisation to Samuel's study); 1.5 marks for limitation (1 mark identification, 0.5 mark contextualisation).

(c) [1.75 marks]: 1 mark for explaining why the sample characteristics differ from the general population (age, cognitive ability, study habits); 0.75 marks for explicitly linking this to reduced generalisability of recall performance.

(a) Two key ethical guidelines:
1. Protection from psychological and physical harm: Researchers must ensure participants do not experience greater distress, anxiety, or physical pain than they would encounter in everyday life.
2. Informed/valid consent or Right to withdraw: Participants must be informed about the general nature of the study and made aware that they can leave the experiment and withdraw their data at any point without penalty.

(b) To address protection from harm, Ron should calibrate the sound intensity so it is startling but well below harmful auditory thresholds (e.g. under 85 dB for less than 1 second). He should also administer a screening questionnaire to exclude individuals with auditory conditions or clinical anxiety disorders, and provide a full debriefing immediately following the trial to return anxiety levels to baseline.

(a) [3 marks]: 1.5 marks for each correctly described ethical guideline (e.g. protection from harm, right to withdraw, informed consent, confidentiality, debriefing) [1 mark identification, 0.5 mark description].

(b) [2.75 marks]: 1 mark for an actionable practical procedure; 1 mark for direct contextual application to the loud noise/anxiety scenario; 0.75 marks for explaining how this directly upholds the named ethical principle.

(a)
- Median: The data is already in ascending order (24, 28, 29, 31, 31, 35, 98). The middle (4th) value is 31 seconds.
- Range: Difference between highest and lowest value = \(98 - 24 = 74\) seconds.

(b) Standard deviation is a measure of spread/dispersion that shows the average amount by which individual scores deviate from the mean score.

(c) Elena's dataset contains an extreme score / positive outlier of 98 seconds. The mean is sensitive to all scores and would be pulled upwards to approximately 39.43 seconds, which is higher than 6 out of the 7 participants' times. The median (31 seconds) is not distorted by extreme outliers and therefore provides a more representative measure of typical puzzle-solving time.

(a) [2 marks]: 1 mark for correct median (31 or 31 seconds); 1 mark for correct range (74 or 74 seconds / 98 - 24).

(b) [1 mark]: 1 mark for defining standard deviation as a measure of spread/variation around the mean.

(c) [2.75 marks]: 1 mark for identifying the extreme outlier (98 seconds); 1 mark for explaining that the mean would be distorted/inflated; 0.75 marks for explaining why the median (31) better represents the central tendency of the data.

(a) A field experiment is an experimental investigation conducted in a natural, real-world setting (such as a school classroom) where the experimenter deliberately manipulates the independent variable while measuring the dependent variable.

(b) A laboratory experiment allows strict control over extraneous variables (e.g., room temperature, ambient noise, timing, and peer interactions). This standardisation ensures that differences in exam scores are caused solely by the revision technique (high internal validity) and enables exact replication to check reliability.

(c) A classroom setting provides high ecological validity because the physical environment, social context, and task demands mirror everyday academic life. Students revise in familiar surroundings under typical school conditions rather than an artificial, intimidating lab setting, meaning findings about revision techniques can be directly applied to actual educational practices.

(a) [1 mark]: 1 mark for defining field experiment (manipulation of IV in a natural/everyday setting).

(b) [2 marks]: 1 mark for identifying control of extraneous variables / standardisation / replicability; 1 mark for contextual elaboration linked to revision techniques / exam scores.

(c) [2.75 marks]: 1 mark for defining ecological validity / natural setting; 1 mark for explaining student behaviour/authentic revision context; 0.75 marks for explicit link to applying findings to real-world educational contexts.

(a) Example plan:
• Observational techniques and behavioural categories: A non-participant, covert (or semi-covert, e.g., observer sitting unobtrusively in a corner with a clipboard) naturalistic observation will be conducted during morning free-play time. An event sampling technique will be used. Explicit operationalised behavioural categories for prosocial sharing will include:
- Spontaneous sharing: Offering an unprompted toy/material to another child.
- Requested sharing: Handing over a requested item within 5 seconds of an explicit verbal or non-verbal peer request.
- Cooperative sharing: Allowing mutual, simultaneous use of a play resource (e.g., building blocks).
• Frequency/intervals and duration: Observations will occur at regular intervals across the 12-month period: specifically, at Month 1 (baseline upon nursery entry), Month 4, Month 8, and Month 12. Each data-collection round will consist of three 30-minute observation sessions per child during unstructured free play across one designated week.
• Scoring and quantifying: Tally marks will be recorded for each occurrence of the predefined sharing categories on an observation schedule. The total frequency of prosocial sharing actions per 30-minute session will be calculated, and a mean sharing score per child will be generated for each 4-month milestone, allowing quantitative comparisons of sharing rates across the year.
• Controls / standardisation: All observations will take place during the same scheduled free-play period (10:00–10:30 am), in the same physical classroom layout, with a standardised set of toys available (e.g., equal numbers of building sets, art supplies, and figurines). Two trained observers will independently record behaviours using the exact same operational definitions to establish inter-observer reliability (e.g., calculating a correlation coefficient/agreement percentage before starting main trials).

(b) Example evaluation:
• Strength (Ecological validity): The study takes place in a naturalistic nursery environment during regular free-play sessions without artificial task constraints or researcher interference. This high ecological validity means children display genuine, unprompted social behaviours, minimising demand characteristics.
• Weakness (Practical issue / Participant attrition): In a longitudinal study lasting an entire year, there is a substantial risk of participant attrition (e.g., children moving away, changing nursery schools, or experiencing prolonged absences due to illness). This would reduce the usable data set over time and make tracking individual developmental trajectories difficult.

(a) [10 marks] Level-of-response marking grid:

Level 4 (8–10 marks):
• The plan is well-detailed, practical, and fully operationalised.
• All four bulleted requirements are addressed thoroughly in the context of a longitudinal observational study:
1. Clear behavioural categories (operationalised definitions) and observation method (e.g., event/time sampling, overt/covert, participant/non-participant).
2. Longitudinal schedule (specific intervals/frequency across the year and session durations).
3. Clear scoring/measurement of quantitative data.
4. Relevant controls/standardisation.
• The plan would allow for direct replication.

Level 3 (5–7 marks):
• The plan is clear and mostly operationalised; addresses at least three required features with good detail or all four with minor omissions/lack of clarity.
• Replicable with minimal assumptions.

Level 2 (3–4 marks):
• The plan addresses two or three required features with basic descriptions.
• May lack specific operationalisation or clear longitudinal scheduling.

Level 1 (1–2 marks):
• Brief, muddled, or highly incomplete plan. Addresses one or two features vaguely.

Level 0 (0 marks):
• No creditable response.

Negative guidance / Constraints:
• Do not credit descriptions of sample/sampling techniques or ethical considerations (as restricted by the stem).

---

(b) [4 marks] Point-based marking:

Award up to 2 marks for a strength and up to 2 marks for a weakness.

Strength (2 marks):
• 1 mark for identifying a valid methodological/practical strength (e.g., high ecological validity, high inter-observer reliability due to standardised behavioural categories).
• 1 mark for contextualised explanation applied directly to the plan described in (a).

Weakness (2 marks):
• 1 mark for identifying a valid methodological/practical weakness (e.g., observer bias, participant attrition over the 1-year timeline, lack of control over peer group dynamics).
• 1 mark for contextualised explanation applied directly to the plan described in (a).

Note: Do not credit generic evaluation points that are not linked to the proposed longitudinal/observational design.

(a) Example plan:
• Observational techniques and behavioural categories: A non-participant, covert (or semi-covert, e.g., observer sitting unobtrusively in a corner with a clipboard) naturalistic observation will be conducted during morning free-play time. An event sampling technique will be used. Explicit operationalised behavioural categories for prosocial sharing will include:
- Spontaneous sharing: Offering an unprompted toy/material to another child.
- Requested sharing: Handing over a requested item within 5 seconds of an explicit verbal or non-verbal peer request.
- Cooperative sharing: Allowing mutual, simultaneous use of a play resource (e.g., building blocks).
• Frequency/intervals and duration: Observations will occur at regular intervals across the 12-month period: specifically, at Month 1 (baseline upon nursery entry), Month 4, Month 8, and Month 12. Each data-collection round will consist of three 30-minute observation sessions per child during unstructured free play across one designated week.
• Scoring and quantifying: Tally marks will be recorded for each occurrence of the predefined sharing categories on an observation schedule. The total frequency of prosocial sharing actions per 30-minute session will be calculated, and a mean sharing score per child will be generated for each 4-month milestone, allowing quantitative comparisons of sharing rates across the year.
• Controls / standardisation: All observations will take place during the same scheduled free-play period (10:00–10:30 am), in the same physical classroom layout, with a standardised set of toys available (e.g., equal numbers of building sets, art supplies, and figurines). Two trained observers will independently record behaviours using the exact same operational definitions to establish inter-observer reliability (e.g., calculating a correlation coefficient/agreement percentage before starting main trials).

(b) Example evaluation:
• Strength (Ecological validity): The study takes place in a naturalistic nursery environment during regular free-play sessions without artificial task constraints or researcher interference. This high ecological validity means children display genuine, unprompted social behaviours, minimising demand characteristics.
• Weakness (Practical issue / Participant attrition): In a longitudinal study lasting an entire year, there is a substantial risk of participant attrition (e.g., children moving away, changing nursery schools, or experiencing prolonged absences due to illness). This would reduce the usable data set over time and make tracking individual developmental trajectories difficult.

(a) [10 marks] Level-of-response marking grid:

Level 4 (8–10 marks):
• The plan is well-detailed, practical, and fully operationalised.
• All four bulleted requirements are addressed thoroughly in the context of a longitudinal observational study:
1. Clear behavioural categories (operationalised definitions) and observation method (e.g., event/time sampling, overt/covert, participant/non-participant).
2. Longitudinal schedule (specific intervals/frequency across the year and session durations).
3. Clear scoring/measurement of quantitative data.
4. Relevant controls/standardisation.
• The plan would allow for direct replication.

Level 3 (5–7 marks):
• The plan is clear and mostly operationalised; addresses at least three required features with good detail or all four with minor omissions/lack of clarity.
• Replicable with minimal assumptions.

Level 2 (3–4 marks):
• The plan addresses two or three required features with basic descriptions.
• May lack specific operationalisation or clear longitudinal scheduling.

Level 1 (1–2 marks):
• Brief, muddled, or highly incomplete plan. Addresses one or two features vaguely.

Level 0 (0 marks):
• No creditable response.

Negative guidance / Constraints:
• Do not credit descriptions of sample/sampling techniques or ethical considerations (as restricted by the stem).

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(b) [4 marks] Point-based marking:

Award up to 2 marks for a strength and up to 2 marks for a weakness.

Strength (2 marks):
• 1 mark for identifying a valid methodological/practical strength (e.g., high ecological validity, high inter-observer reliability due to standardised behavioural categories).
• 1 mark for contextualised explanation applied directly to the plan described in (a).

Weakness (2 marks):
• 1 mark for identifying a valid methodological/practical weakness (e.g., observer bias, participant attrition over the 1-year timeline, lack of control over peer group dynamics).
• 1 mark for contextualised explanation applied directly to the plan described in (a).

Note: Do not credit generic evaluation points that are not linked to the proposed longitudinal/observational design.

To apply Exposure and Response Prevention (ERP) to Mateo:
1. Exposure: The therapist asks Mateo to deliberately touch a door handle that he believes is contaminated with bacteria, directly triggering his obsessive thoughts and anxiety.
2. Response Prevention: Mateo is instructed and supported to resist performing his compulsive ritual (washing his hands for twenty minutes with scalding water).
3. Habituation/Extinction: By staying in the anxiety-provoking situation without washing his hands, Mateo experiences a natural reduction in anxiety over time (habituation) and learns that the feared harm does not happen, weakening the conditioned link between contamination thoughts and washing rituals.

1 mark for identifying the exposure component in context (e.g. Mateo touches a door handle / confronting the feared contamination).
1 mark for identifying the response prevention component in context (e.g. Mateo is prevented from washing his hands for twenty minutes).
1 mark for explaining the psychological mechanism / elaboration (e.g. anxiety peaks and naturally declines / habituation occurs / unlearning the compulsion).

Guidance:
- Award maximum 2 marks if no direct context from the scenario is used.
- Do not credit general descriptions of CBT that do not include exposure and prevention of compulsive rituals.

The anchoring heuristic explains Suki's decision as follows:
- Definition/Identification: Anchoring is a cognitive heuristic where an individual's estimate or decision is heavily biased by the first piece of information received (the reference point or anchor).
- Contextual Anchor: Suki's anchor point is established by the first laptop she sees, which is priced at $1,800.
- Applied Evaluation: Instead of comparing the second laptop to her original $900 budget, she compares its $1,200 price to the $1,800 anchor. Relative to the high anchor, $1,200 seems like a substantial discount/bargain, leading her to exceed her initial budget and make the purchase.

1 mark for defining/identifying the anchoring heuristic (relying on the initial piece of information as a reference point).
1 mark for identifying the specific anchor in Suki's scenario ($1,800 first laptop price).
1 mark for explaining how this anchor influenced her evaluation/decision (making $1,200 seem like a bargain relative to the anchor rather than her $900 budget).

Guidance:
- Maximum 2 marks if the explanation is purely theoretical without reference to the scenario values/context.

Rational non-adherence explains Aaron's behaviour through the following steps:
1. Concept Definition: Rational non-adherence occurs when a patient makes a conscious, reasoned decision not to adhere after conducting a cost-benefit analysis of the treatment.
2. Cost Evaluation: Aaron experiences unpleasant adverse side effects (mild dizziness and nausea), which represent an immediate and noticeable cost.
3. Benefit vs. Cost Conclusion: Since high blood pressure is largely asymptomatic and Aaron felt healthy beforehand, he perceives zero immediate benefit from the tablets. He logically decides that enduring side effects is irrational, leading to his intentional non-adherence.

1 mark for explaining the core concept of rational non-adherence (deliberate/reasoned decision based on a cost-benefit analysis).
1 mark for identifying the costs in the scenario (experiencing dizziness and nausea).
1 mark for linking the perceived lack of benefit/feeling healthy to the logical conclusion to stop taking the tablets.

Guidance:
- Do not credit answers that attribute non-adherence to simple forgetting or confusion, as rational non-adherence requires intentional reasoning.

Clara could set up the token economy in three structured steps:
1. Specify Target Behaviours: Clara clearly defines measurable safe behaviours (e.g. wearing protective goggles at all times, securing safety guards before operating machines).
2. Token Delivery: Supervisors observe the operators and provide tokens (e.g. points, poker chips, stamps) as immediate secondary reinforcers whenever these safe behaviours are demonstrated.
3. Exchange for Backup Reinforcers: Clara creates a reward menu where a set number of accumulated tokens can be exchanged for meaningful primary/backup rewards (e.g. extra break time, canteen vouchers, or choice of shift pattern), strengthening adherence via operant conditioning.

1 mark for identifying target safety behaviours in context (e.g. wearing goggles, securing machine guards).
1 mark for explaining the immediate provision of tokens (secondary reinforcers) upon observing the target behaviour.
1 mark for describing the exchange of tokens for meaningful backup reinforcers (e.g. vouchers, preferred shifts, extra break time).

Guidance:
- Award a maximum of 2 marks if backup reinforcers are omitted or if no contextual safety behaviours from the scenario are mentioned.

Explanations for obsessive-compulsive disorder (OCD) include:

1. Biological Explanations:
- Genetic: OCD is thought to have a hereditary component. Family and twin studies suggest higher concordance rates in monozygotic twins compared to dizygotic twins, implicating specific candidate genes involved in neurotransmitter regulation (such as the serotonin transporter gene, SLC6A4/SERT, and catechol-O-methyltransferase, COMT).
- Biochemical: The serotonin hypothesis suggests that deficiency or dysregulation in serotonin neurotransmission impairs communication between the orbitofrontal cortex (OFC), anterior cingulate cortex, and basal ganglia (caudate nucleus), leading to the failure to inhibit repetitive thoughts and behaviours. Elevated dopamine levels are also implicated in compulsive, stereotypic actions.

2. Cognitive Explanations:
- Thinking Errors / Cognitive Biases: Faulty information processing and cognitive errors lead individuals to misinterpret intrusive thoughts. Intrusive, intrusive thoughts are normal, but individuals with OCD attach catastrophic meaning to them (e.g., thought-action fusion: believing that having a thought is morally equivalent to performing the action, or makes the event more likely to happen). This inflated responsibility and intolerance of uncertainty drive anxiety, leading to compulsive rituals to prevent harm.

3. Behavioural / Operant Conditioning Explanations:
- Mowrer's Two-Process Model: Obsessions (anxiety triggers) are acquired through classical conditioning (neutral stimulus paired with anxiety). Compulsive behaviours are maintained via operant conditioning, specifically negative reinforcement: performing the compulsion temporarily reduces or neutralises anxiety, reinforcing the repetitive behavioural loop.

4. Psychodynamic Explanations:
- Freud suggested OCD arises from fixation at the anal stage of psychosexual development due to overly strict or punitive toilet training. The individual experiences conflict between the id (aggressive or sexual impulses) and the superego (strict moral standards), using defense mechanisms like isolation, undoing, and reaction formation to manage unconscious anxiety.

Table A: AO1 Knowledge and understanding (6 marks)

Level 3 (5–6 marks):
- Description is accurate, detailed, and demonstrates relevant psychological knowledge and understanding of explanations for OCD.
- The response is well-structured and uses appropriate psychological terminology throughout.
- At least two distinct explanations (e.g. biological, cognitive, behavioural, psychodynamic) are described with good depth and clarity.

Level 2 (3–4 marks):
- Description is mostly accurate, has some detail, and demonstrates relevant psychological knowledge and understanding of explanation(s) for OCD.
- Psychological terminology is used with some accuracy.
- May describe one explanation in detail or two or more with limited elaboration.

Level 1 (1–2 marks):
- Description is limited, lacking in detail, and demonstrates basic psychological knowledge.
- Identification of points with minimal or no elaboration.
- Little or no appropriate psychological terminology.

Level 0 (0 marks):
- No creditable content.

Indicative content:
- Biological: Genetic inheritance (twin/family concordance, specific genes) and biochemical imbalances (serotonin deficiency/dysregulation, dopamine excess, hyperactive OFC-caudate loop).
- Cognitive: Catastrophic misinterpretation of intrusive thoughts, cognitive biases, thought-action fusion, inflated personal responsibility, intolerance of uncertainty.
- Behavioural/Operant: Negative reinforcement loop; anxiety reduction reinforces compulsive rituals.
- Psychodynamic: Anal stage fixation, id-superego conflict, defence mechanisms (e.g., undoing, reaction formation).

Measures used to assess adherence to medical advice include:

1. Subjective / Self-Report Measures:
- Clinical Interviews and Questionnaires: Practitioners or researchers ask patients directly about their medication-taking habits, diet, or lifestyle regimens. These can be structured (e.g., standardised scales like the Morisky Medication Adherence Scale) or semi-structured clinical discussions.
- Strengths/Limitations: They provide qualitative insights into reasons for non-adherence, but are prone to social desirability bias, faulty recall, and deliberate over-reporting of adherence.

2. Direct Objective / Biochemical Measures:
- Blood and Urine Samples: Direct testing of bodily fluids to detect the concentration of the active drug, its metabolites, or an inert chemical marker/tracer added to the medication.
- Strengths/Limitations: Highly objective, scientific, and eliminates self-report bias. However, it can be invasive, costly, requires laboratory facilities, and may only reflect recent adherence rather than long-term consistency ('white-coat adherence').

3. Indirect Objective / Mechanical and Observational Measures:
- Pill Counting: A practitioner or researcher counts the number of remaining tablets in a prescription container at follow-up and compares this against the expected number used over that time period.
- Electronic Medication Dispensers / Monitors: Devices such as the Medication Event Monitoring System (MEMS) or TrackCap, which contain a microprocessor within the bottle cap that records the exact date and time each time the container is opened.
- Strengths/Limitations: Pill counting is simple and inexpensive but easily manipulated (e.g., dumping pills before an appointment). Electronic dispensers track temporal patterns of opening, though opening a container does not guarantee the patient actually ingested the medication.

Table A: AO1 Knowledge and understanding (6 marks)

Level 3 (5–6 marks):
- Description is accurate, detailed, and demonstrates relevant psychological knowledge and understanding of measures of adherence.
- Covers both subjective and objective measures (including physiological and mechanical/indirect methods) with appropriate detail.
- Uses appropriate psychological and medical terminology accurately.

Level 2 (3–4 marks):
- Description is mostly accurate, has some detail, and demonstrates relevant psychological knowledge.
- May focus on a narrower range of measures (e.g., self-reports and pill counts only) or provide broad descriptions with less specific detail.
- Some appropriate terminology used.

Level 1 (1–2 marks):
- Description is limited, lacking in detail, and demonstrates basic psychological knowledge.
- May merely list or briefly state measures without describing how they are applied.

Level 0 (0 marks):
- No creditable content.

Indicative content:
- Subjective: Clinical interviews, patient self-reports, structured questionnaires/diaries.
- Objective direct (biochemical): Blood tests, urine tests for drug metabolites or chemical markers.
- Objective indirect (physical/mechanical): Pill counting (measuring remaining dosage against expected count), electronic medication monitors/dispensers (e.g., MEMS/TrackCap recording lid removal timestamps).

Candidates should provide a balanced evaluation of explanations for impulse control disorders (such as kleptomania, pyromania, and gambling disorder):

1. Named Issue: Reductionism versus Holism
- Biological explanation (dopamine deficiency/reward pathways): Highly reductionist as it isolates complex compulsive behaviours down to specific neurotransmitter activity in the ventral striatum and mesolimbic pathway. A strength of this reductionism is that it facilitates scientific investigation and targeted pharmacological treatments (e.g., opioid antagonists like naltrexone). However, it neglects personal history, emotional triggers, and social environment.
- Behavioural explanation (operant conditioning / positive reinforcement / variable schedules of reinforcement): Focuses primarily on stimulus-response contingencies, such as the rewarding physiological 'rush' or financial payout. While more holistic in accounting for environmental cues, it still reduces complex human motivation to mechanical reinforcement.
- Cognitive explanation (Miller's feeling-state theory): Represents a more holistic approach by exploring how intense positive emotions become bound with specific behavioural acts and cognitions, acknowledging both emotional states and underlying cognitive schemas.

2. Other Evaluation Points:
- Determinism vs Free Will: Biological and behavioural models are deterministic, suggesting impulses are driven by neurochemistry or reinforcement histories beyond immediate conscious control, which may remove personal responsibility. Cognitive approaches allow some agency by addressing thinking errors and restructuring beliefs.
- Scientific Rigour and Testability: Biological theories can be objectively tested using neuroimaging and pharmacological trials, providing high internal validity. In contrast, feeling-state theory relies on introspective self-reports of internal cognitive-emotional links, which are less directly falsifiable.
- Practical Application: Behavioural and cognitive models lead directly to effective psychological therapies (e.g., imaginal desensitisation, covert sensitisation), whereas biological explanations inform medication regimes that can reduce craving intensity.

Table B: Analysis and evaluation (10 marks)

Level 4 (8–10 marks):
- Evaluation is balanced, thorough, and demonstrates sophisticated psychological understanding.
- Discussion of the named issue (reductionism vs holism) is explicit, perceptive, and well integrated.
- Range of evaluation points covers both strengths and weaknesses across multiple explanations.
- Effective and accurate use of psychological terminology.

Level 3 (5–7 marks):
- Evaluation is good with balanced points, though may lack depth in some areas.
- Discussion of the named issue is present and linked to the explanations, though may be partially developed.
- Uses appropriate psychological concepts and terminology mostly accurately.

Level 2 (3–4 marks):
- Evaluation is limited or one-sided (predominantly strengths or weaknesses).
- The named issue is addressed superficially or descriptively without clear application to explanations.
- Limited psychological terminology.

Level 1 (1–2 marks):
- Minimal evaluative content; mostly descriptive or list-like.
- Named issue is omitted or merely mentioned with no real application.

Level 0 (0 marks):
- No creditable content.

Candidates should evaluate a range of leadership and management theories (e.g., universalist/trait theories, Ohio/Michigan behavioural studies, Heifetz's adaptive leadership, Muczyk and Reimann's styles, Scouller's three levels):

1. Named Issue: Individual versus Situational Explanations
- Individual Explanations: Universalist approaches (e.g., Great Person theory, charismatic leadership) and Scouller's personal/private leadership levels emphasize innate personality traits, intelligence, or internal emotional awareness. A strength is recognising that certain distinct dispositional qualities (e.g., charisma, high energy) make individuals effective in inspiring others. A limitation is the failure to account for how dynamic work environments affect success.
- Situational Explanations: Contingency models and situational frameworks (such as Muczyk & Reimann's directive/participative dimension combined with execution, or Heifetz's adaptive challenges) argue that leadership efficacy is entirely dependent on context, follower competence, and task structure. This offers high practical utility as managers can adapt behaviours to shifting circumstances, though it may understate persistent personal traits.
- Interactionist Perspective: Modern models (e.g., Scouller) integrate both, arguing that an individual's personal leadership mastery provides the base from which they adapt flexibly to situational demands.

2. Other Evaluation Points:
- Methodological Issues / Measurement: Assessing leadership traits or styles often relies on self-report questionnaires (e.g., Kouzes and Posner's LPI) or subordinate ratings, which are prone to social desirability bias and subjectivity.
- Generalisability and Cultural Bias: Many traditional theories were developed in Western industrial settings (e.g., Ohio State studies), which may assume individualistic corporate norms and fail to apply to collectivist work cultures where consultative styles are viewed differently.
- Practical Application: Behavioural and adaptive theories allow organisations to design actionable training programmes to teach effective leader behaviours, unlike fixed trait theories.

Table B: Analysis and evaluation (10 marks)

Level 4 (8–10 marks):
- Evaluation is balanced, thorough, and demonstrates sophisticated psychological understanding.
- Discussion of the named issue (individual vs situational explanations) is explicit, perceptive, and well integrated across theories.
- Evaluation considers both strengths and limitations of multiple leadership theories.
- Effective and accurate use of psychological terminology.

Level 3 (5–7 marks):
- Evaluation is good with balanced points, though may lack depth in some areas.
- Discussion of the named issue is present and linked to leadership theories, though may be partially developed.
- Uses appropriate psychological concepts and terminology mostly accurately.

Level 2 (3–4 marks):
- Evaluation is limited or one-sided.
- The named issue is addressed superficially or descriptively without clear application to specific leadership models.
- Limited psychological terminology.

Level 1 (1–2 marks):
- Minimal evaluative content; mostly descriptive or generic assertions.
- Named issue is omitted or merely mentioned with no real application.

Level 0 (0 marks):
- No creditable content.

(a) Lovell et al. (2006) assessed OCD symptoms and outcomes using standardised psychometric instruments, including:
1. The Yale-Brown Obsessive Compulsive Scale (Y-BOCS).
2. The Beck Depression Inventory (BDI).
(Also acceptable: Clinical Global Impressions (CGI) scale, Client Satisfaction Questionnaire (CSQ-8), or Hamilton Rating Scale for Anxiety).

(b) Lovell et al. found that both the telephone CBT group and the face-to-face CBT group demonstrated significant and clinically meaningful improvements in OCD symptoms at post-treatment (e.g., substantial reductions in mean Y-BOCS scores from baseline). Importantly, there were no significant differences in outcomes between the two delivery modes, and treatment gains were maintained equally across both groups at the 1-month, 3-month, and 6-month follow-up assessments. Patient satisfaction ratings (CSQ-8) were also equivalently high in both conditions.

(c) Dev's treatment using Exposure and Response Prevention (ERP) would involve:
1. Exposure: The psychologist and Dev construct an anxiety hierarchy of contamination triggers (e.g., looking at a door handle, touching a clean indoor handle, touching an outdoor public door handle). Dev is guided to deliberately touch a door handle in a graded manner to provoke anxiety without avoiding the stimulus.
2. Response Prevention: Dev is instructed and supported to strictly refrain from engaging in his usual compulsive rituals (e.g., handwashing, using sanitiser, or wiping surfaces).
3. Habituation: Through sustained contact without ritualising, Dev experiences natural extinction of conditioned anxiety as physiological arousal subsides over time, learning that the feared catastrophe (contamination/harm) does not occur.

(a) [2 marks]
1 mark for each correctly identified measure/scale up to a maximum of 2.
- Yale-Brown Obsessive Compulsive Scale (Y-BOCS)
- Beck Depression Inventory (BDI)
- Client Satisfaction Questionnaire (CSQ-8)
- Clinical Global Impressions (CGI)
- Hamilton Anxiety Rating Scale

(b) [3 marks]
- 1 mark for basic outline stating both groups improved.
- 2 marks for clear comparison showing both modes were equally effective / no significant difference in symptom reduction.
- 3 marks for detailed response referencing maintenance of gains at follow-up (1/3/6 months) or satisfaction equivalence.

(c) [4 marks]
- Level 1 (1–2 marks): Basic description of ERP or vague application to Dev with minimal theoretical detail.
- Level 2 (3–4 marks): Clear, applied explanation showing both explicit exposure (e.g., touching door handles/hierarchy) and response prevention (e.g., refraining from washing/sanitising), with reference to habituation/anxiety reduction.

(a) Study Plan

• Aim and Hypotheses:
Aim: To investigate whether applying a disrupt-then-reframe (DTR) sales script increases the purchase rate of optional home insurance policies compared to a standard sales script.
Directional hypothesis: Potential customers presented with a disrupt-then-reframe sales script will agree to purchase optional home insurance add-on coverage at a significantly higher rate than potential customers presented with a standard linear sales script.
Null hypothesis: There will be no significant difference in the purchase rate of optional home insurance add-ons between customers given the DTR script and those given a standard script, and any observed difference is due to chance.

• Method and Design:
Field experiment conducted via outbound telephone customer consultations for a national insurance broker.
Independent measures design: Participants are randomly allocated to either Condition 1 (Disrupt-then-Reframe script) or Condition 2 (Standard Control script).

• Variables:
Independent Variable (IV): The type of sales pitch delivered at the point of offering optional add-on home emergency insurance.
- Condition 1 (DTR): The price is first stated in unusual units to create cognitive disruption, followed immediately by a reframing statement (e.g., 'The emergency cover is 4,200 pennies per year... which is just £42, a great bargain for full peace of mind').
- Condition 2 (Standard Control): The price is stated conventionally without disruption (e.g., 'The emergency cover is £42 per year, which is a great bargain for full peace of mind').
Dependent Variable (DV): Consumer compliance, operationalised as whether the participant agrees to add the optional insurance policy to their purchase (recorded categorically as Yes / No, and aggregated as the percentage compliance rate per condition).

• Sample and Sampling Technique:
Opportunity sample of 120 adult homeowners (aged 25–65, balanced across genders) who contact the broker to renew or purchase home insurance during a two-week period. Participants are randomly assigned to either condition (n = 60 per group) using a computerised random number generator upon initiating the call.

• Controls and Standardisation:
- All scripts are delivered by two trained call handlers who are blind to the exact experimental hypothesis.
- Both conditions use identical call structure, tone of voice, baseline policy details, and identical core product cost (£42); only the wording of the final add-on offer is manipulated.
- Calls are conducted during standardised daytime operating hours (10:00–16:00) to control for fatigue or time-of-day effects.

• Data Analysis:
Descriptive statistics: Calculate the percentage compliance rate and mode/frequencies for 'Yes' vs 'No' decisions in each condition. Display comparative compliance rates using a bar chart.

(b) (i) Psychological Explanation of Disrupt-then-Reframe:
The disrupt-then-reframe (DTR) technique (Davis & Knowles, 1999) is a compliance-gaining strategy rooted in consumer decision-making and cognitive load theory. It operates via a two-stage sequential process:
1. Disruption: An unexpected, minor cognitive perturbation is introduced into a standard sales interaction (e.g., quoting a price in pennies rather than pounds or cents). This brief confusion momentarily interrupts the consumer's typical, automated resistance scripts or critical counter-arguing heuristics (System 2 processing is derailed or overwhelmed).
2. Reframing: Before the consumer can fully recalibrate their standard resistance defences, the salesperson provides an immediate, positive cognitive frame (e.g., 'that is a great bargain'). Because the consumer seeks cognitive closure to resolve the temporary confusion, they readily accept and latch onto the simple, positive reframe, leading to heightened compliance.

(b) (ii) Application of Psychological Knowledge to the Plan:
1. Disruption stage operationalisation: To operationalise the disruption feature, the script presented the annual fee of £42 as '4,200 pennies'. This specific calculation forces a brief pause and disrupts habitual automatic rejection of add-on insurance products by creating subtle cognitive confusion.
2. Immediate reframing: To operationalise the reframe feature, the script immediately followed the penny statement with the phrase 'that is just £42, a great bargain for full peace of mind'. This ensured the positive evaluative meaning was provided before the customer could engage in deliberate counter-arguing or re-establish defensive sales resistance.

(c) (i) Strength of Experimental Design:
An independent measures design prevents order effects such as demand characteristics or practice/boredom effects; each homeowner heard only one script variant, ensuring participants remained unaware that alternative phrasing was being tested and could not compare scripts.

(c) (ii) Extraneous Variable and Control:
Extraneous variable: Individual differences in call handler delivery style, speed, or persuasive charisma could influence compliance.
Control: The two call handlers underwent standardised training with verbatim scripts, audio monitoring checks, and were balanced equally across both experimental conditions.

(c) (iii) Ethical Issue and Resolution:
Ethical issue: Informed consent and deception in a field experiment, as revealing the study beforehand would trigger demand characteristics and invalidate spontaneous purchasing decisions.
Resolution: Presumptive/retrospective consent and full debriefing: at the end of the transaction call, participants were informed that the phrasing was part of a service communication evaluation, reminded that add-on insurance is entirely optional with a 14-day cancellation cooling-off period, and asked for consent to retain their anonymised decision data.

Part (a) [10 marks]:
Use generic Level of Response Table for Paper 4 planning:
- Level 4 (8–10 marks): Detailed, well-structured, feasible plan. Both required bullets fully addressed with clear operationalisation of IV, DV, controls, sample, and sampling technique. Replication is fully possible.
- Level 3 (5–7 marks): Appropriate plan with mostly clear operationalisation. Covers both bullets with minor omissions or slight lack of detail.
- Level 2 (3–4 marks): Basic plan, lacks key methodological controls or operational detail. Missing elements.
- Level 1 (1–2 marks): Fragmented or flawed plan with major omissions.
- 0 marks: No creditworthy response.

Part (b)(i) [4 marks]:
- 4 marks: Comprehensive description of the disrupt-then-reframe technique, explaining both the disruption of resistance scripts/counter-arguing and the cognitive closure offered by the positive reframe.
- 2–3 marks: Good description with minor omission (e.g. mentions disruption and reframe but lacks detail on cognitive mechanisms).
- 1 mark: Vague outline or definition only.

Part (b)(ii) [4 marks]:
- 4 marks: Two distinct features clearly identified and explicitly explained in how they were applied directly to the operationalisation of the plan in (a) (2 marks per feature: 1 identification, 1 application to plan).
- 2–3 marks: Two features identified with partial application, or one feature fully explained.
- 1 mark: Superficial link or purely theoretical with no clear link to plan.

Part (c)(i) [2 marks]:
- 1 mark: Valid strength of the specific experimental design named in (a) (e.g. no order effects / no demand characteristics in independent measures).
- 1 mark: Contextualised explanation linking directly to the insurance sales context.

Part (c)(ii) [2 marks]:
- 1 mark: Identification of a plausible extraneous variable relevant to the scenario.
- 1 mark: Clear, practical explanation of how this variable was or could be controlled.

Part (c)(iii) [2 marks]:
- 1 mark: Identification of a relevant ethical issue (e.g. deception / lack of prior consent / right to withdraw).
- 1 mark: Clear explanation of how the issue is managed in practice (e.g. debriefing, 14-day cooling-off period, anonymised data consent).