Psychology

    OCR
    A-Level

    Specification: H567

    The OCR A-Level Psychology specification covers 22 topics with 107 learning objectives (H567). Use the topic browser below to explore subtopics, exam tips, common mistakes, and key terminology for each area of the course.

    Starting OCR A-Level Psychology this term? The whole specification is below, unit by unit.

    This subject will help you develop key knowledge and skills required for exam success.

    22

    Topics

    107

    Objectives

    403

    Exam Tips

    442

    Pitfalls

    Ready to practise?

    AI-powered quizzes tailored to your specification

    Study Guides

    12 revision guides for OCR A-Level Psychology

    Browse study guides

    Official Specification

    Download the OCR A-Level Psychology specification PDF

    Download Specification

    Key Features

    • Master key concepts
    • Develop exam technique
    • Apply knowledge effectively

    About OCR A-Level Psychology

    OCR A-Level Psychology offers a fascinating journey into the scientific study of mind and behaviour. The course is built around 20 landmark core studies – from classic experiments like Milgram’s obedience research to contemporary investigations into brain plasticity – giving you a rich, evidence-based foundation. You’ll learn not just what psychologists have discovered, but how they plan, conduct and evaluate research, developing critical thinking skills that are prized by universities and employers alike.

    The specification is split into three clear components. In Component 1: Research Methods, you’ll master the tools of the trade: experimental design, data analysis, and inferential statistics. Component 2: Psychological Themes through Core Studies deepens your understanding of areas such as social, cognitive, and biological psychology by examining the key studies in detail and exploring debates like nature versus nurture. Finally, Component 3: Applied Psychology lets you specialise in an area that sparks your curiosity – choose from child psychology, criminal psychology, environmental psychology, sport and exercise psychology, or mental health.

    Throughout the course, you’ll engage with real-world applications, consider ethical implications, and compare different psychological perspectives. This isn’t just about memorising facts; it’s about learning to think like a psychologist. Whether you’re aiming for a career in psychology, medicine, law, or business, the skills you build here will serve you well.

    Assessment Structure

    OCR A-Level Psychology is assessed entirely through written examinations, with no coursework component. You’ll sit three papers at the end of the two-year course. Paper 1: Research Methods (90 marks, 2 hours) counts for 30% of the A-Level and tests your understanding of methodology, data handling, and analysis. Paper 2: Psychological Themes through Core Studies (105 marks, 2 hours) contributes 35% and focuses on the 20 core studies and key debates. Paper 3: Applied Psychology (105 marks, 2 hours) also makes up 35%, assessing your chosen specialist option alongside broader issues in mental health. The total marks available across all papers is 300.

    Why Choose OCR?

    • OCR’s focus on 20 core studies provides a unique, narrative-driven structure that many students find engaging and memorable, contrasting with the more topic-based approach of other boards. This makes it easier to see the ‘big picture’ of psychology.
    • The course has a strong practical emphasis on research methods and data analysis, giving you tangible skills in designing experiments and interpreting statistics – a real advantage if you plan to study psychology or social sciences at university.
    • The range of applied options (e.g., criminal, sport, child psychology) is broader than many other boards, allowing you to tailor the course to your interests from the start of Year 2, which can boost motivation and performance.

    Frequently Asked Questions

    Assessment Objectives

    AO1
    38%-40%

    Demonstrate knowledge and understanding of scientific ideas, processes, techniques and procedures

    AO2
    33%-35%

    Apply knowledge and understanding of scientific ideas, processes, techniques and procedures: • in a theoretical context • in a practical context • when handling qualitative data • when handling quantitative data

    AO3
    33%-35%

    Analyse, interpret and evaluate scientific information, ideas and evidence, including in relation to issues, to: • make judgements and reach conclusions • develop and refine practical design and procedures

    What Gets Top Grades

    A*/Grade 9

    Knowledge & Understanding

    Demonstrates comprehensive and accurate knowledge

    • Uses correct subject-specific terminology
    • Shows detailed understanding of concepts
    • Makes accurate connections between topics
    • Demonstrates depth beyond surface-level knowledge

    Application

    Applies knowledge effectively to new contexts

    • Selects relevant knowledge for the question
    • Adapts understanding to unfamiliar scenarios
    • Uses examples appropriately
    • Shows awareness of context

    Analysis & Evaluation

    Develops sophisticated analytical arguments

    • Constructs logical chains of reasoning
    • Considers multiple perspectives
    • Weighs evidence to reach justified conclusions
    • Acknowledges limitations and nuances

    Key Command Words

    OCR
    State
    1 mark

    Give a single fact or term

    Identify
    1 mark

    Name or select

    Describe
    2-4 marks

    Account of process or features

    Explain
    3-6 marks

    Give reasons with BUSINESS-FACING outcomes

    Analyse
    6-9 marks

    Examine methodically showing cause→effect→outcome

    Evaluate
    9-12 marks

    Judge, weigh up evidence, reach SYNOPTIC conclusion

    Common Exam Mistakes

    Pitfalls to avoid in your exams

    • Writing that the study proves one variable causes the other, or sliding into causal verbs such as affects, leads to and produces while describing a correlation.
    • Reading a negative correlation as no relationship or as a weak one, when the sign gives direction and only the size gives strength.
    • Drawing a bar chart for correlational data, or joining up the points on a scattergram as though it were a line graph.
    • Taking a significant result in a very large sample as proof of a large effect.
    • Calling a questionnaire unreliable when the point being made is about honesty, which is a validity problem rather than a consistency one.
    • Describing a structured interview as identical to a questionnaire; the difference is the live interviewer, who introduces interviewer effects but can clarify a misread question.
    • Writing a leading item into an answer that was supposed to demonstrate good question design, then losing the mark on the wording alone.
    • Offering the bare claim that people may lie, with no account of why they would lie in this particular study.

    Top Examiner Tips

    Expert advice for exam success

    • Correlations turn up in the data handling questions, so be ready to sketch a labelled scattergram, describe what it shows in one sentence, and name the test you would run.
    • Spearman's rho is the test to name for ranked or ordinal co-variables, and you then calculate the value and compare it with the critical value for the number of pairs at the five per cent level, one tailed only if direction was predicted.
    • A common four mark item gives you a coefficient and asks what it tells the researcher, so answer with direction, then strength, then the warning about causation.
    • You may be asked to write one closed and one open question on a given topic and then explain an advantage of each, so practise producing both quickly with the response format written in.
    • A question about handling interview data usually wants thematic analysis described as coding transcripts into recurring themes, plus one problem of researcher subjectivity.
    • Where the command word is justify, the marks are for the reason your format fits the aim, not for restating which format you picked.
    • Questions on the research methods paper usually open with an unseen scenario and ask you to identify the method and then explain one strength and one weakness of using it here, so read the stem twice and underline what was manipulated and what was measured.
    • Evaluation marks are awarded per developed point rather than per point named, so two criticisms taken through to their consequence beat five listed ones.

    Specification Topics

    22 topics

    Data recording, analysis and presentation

    Reliability is consistency and validity is truth, and a study can have one without the other. Internal consistency is checked by splitting a measure in half and comparing the halves, stability by retesting after an interval, and agreement between observers by correlating their records, as Bandura et al. (1961) did in reporting about 0.89. Validity asks whether the measure captures the construct, whether the result survives outside the setting and whether it holds beyond the sample, which is why Loftus and Palmer (1974) is strong internally and weak ecologically. Participants who guess the aim show demand characteristics, described by Orne (1962), and expectant researchers find what they expect, as Rosenthal and Fode (1963) showed with rats labelled bright or dull. The British Psychological Society code then sets the limits.

    Methodological issues: representativeness; generalisability; reliability: Internal, External, Inter-rater, Test-retest, Split-half; validity: Internal, Face, Construct, Concurrent, Criterion, External, Population, Ecological; demand characteristics; social desirability; researcher/observer bias; researcher/observer effect(s); ethical considerations, including the British Psychological Society’s Code of Ethics and Conduct: Respect – informed consent, right to withdraw, confidentiality; Competence; Responsibility – protection of participant, debrief; Integrity – deception., Descriptive statistics: measures of central tendency: mode, median, mean; measures of dispersion: variance, range, standard deviation; ratio; percentages; fractions; frequency tables (tally chart); line graph; pie charts; bar charts; histograms; scatter diagram., Raw data: design of raw data recording tables; use of raw data recording tables; standard and decimal form; significant figures; make estimations from data collected. +3 more

    6 objectives23 tips31 pitfalls7 subtopics

    Section B: Option 1 Child psychology

    Attachment is the enduring emotional tie that turns a caregiver into a secure base, and it develops from indiscriminate social responsiveness, through a clear preference for one figure, to separation and stranger anxiety in the second half of the first year. The key research supplied the standardised laboratory procedure that made individual differences measurable, using short episodes of separation and reunion to see whether a baby uses the caregiver as a base for exploring and what it does when she comes back. Failure to form an attachment is studied through delinquency research, through children raised in institutions and through adoption follow ups, and the applied question asks what a nursery, a ward or a foster placement should do differently once that evidence is taken seriously.

    Development of attachment (Social) – The development of attachment in babies and the impact of failure to develop attachments. Ainsworth and Bell (1970) Attachment, Exploration and Separation: Illustrated by the Behavior of One-year-olds in a Strange Situation. At least one strategy to develop an attachment friendly environment., Intelligence (Biological) – What psychologists mean by intelligence and what biological factors could affect intelligence. Van Leeuwen et al. (2008) A twin-family study of general IQ. At least one method of assessing intelligence., Perceptual development (Cognitive) – Perceptual development in children and how this can be studied in babies and animals. Gibson and Walk (1960) The visual cliff. At least one play strategy to develop perception in young children. +3 more

    6 objectives23 tips27 pitfalls7 subtopics

    Section B: Areas, perspectives and debates

    A perspective is a set of assumptions about where behaviour comes from, and these two disagree about almost everything. The behaviourist view treats behaviour as learned from the environment through association and consequence, which is why the inflatable doll work and the whistling inhaler belong to it: children who watched an adult attack the doll reproduced the same distinctive blows and phrases, and Chaney and colleagues (2004) found that asthmatic children given a spacer fitted with a spinner and a whistle completed the recommended breathing cycles far more often than with the plain device. The psychodynamic view treats behaviour as driven by conflicts a person cannot report, which is what was read into a boy's horse phobia and what a word pattern analysis claims to find in the way an offender narrates a killing.

    Studies that come from a behaviourist perspective include Bandura’s research into transmission of aggression and Chaney’s Funhaler study, while psychodynamic ideas are referred to in the research by Freud (Little Hans), Kohlberg (stages of moral development) and Hancock (language of psychopaths); however, learners may refer to other studies., Debates: Nature/nurture; Freewill/determinism; Reductionism/holism; Individual/situational explanations; Usefulness of research; Ethical considerations; Conducting socially sensitive research; Psychology as a science – The defining principles and concepts of each debate. Different positions within each debate. Research to illustrate different positions within each debate. Applications of different positions within each debate. How each debate is different from and similar to other debates., The specification places core studies within particular areas, but learners may make reference to studies from across the components and may also argue that a core study placed within one area can be seen as falling within another area. +2 more

    5 objectives20 tips20 pitfalls6 subtopics

    D.1 – handling data

    An inferential test turns a difference between conditions into a probability that it arose by chance, and this board restricts the calculation to non-parametric ones. The binomial sign test is worked by giving each participant a plus or a minus for the direction of their change, discarding anyone whose score did not move, counting the less frequent sign, and taking the number of remaining participants as the sample size. Wilcoxon signed ranks is worked by finding each difference, ranking the differences by size while ignoring whether they are positive or negative, then totalling the ranks belonging to the less frequent sign. Mann-Whitney is worked by ranking every score across both groups together. Chaney and colleagues (2004) compared the same asthmatic children using a standard inhaler and the Funhaler, which is the repeated measures shape the first two tests are built for.

    Use a statistical test (to include: calculating a non-parametric test of differences using data from a given experiment), Know the characteristics of normal and skewed distributions (to include: being presented with a set of scores from an experiment and being asked to indicate the position of the mean (or median, or mode)), Use a scatter diagram to identify a correlation between two variables (to include: plotting two variables from an investigation on a scatter diagram and identifying the pattern as a positive correlation, a negative correlation or no correlation) +14 more

    17 objectives51 tips63 pitfalls17 subtopics

    Section B: Option 2 Criminal psychology

    Accounts of offending divide into the physiological, such as inherited temperament, monoamine oxidase activity, autonomic underarousal and frontal damage, and the non-physiological, such as Eysenck's criminal personality, differential association, cognitive distortions and labelling. Raine and colleagues scanned forty-one people charged with murder who were pleading not guilty by reason of insanity, matched one to one with controls on age and sex, using positron emission tomography while participants worked at a continuous performance task. The offenders showed reduced glucose metabolism in the prefrontal cortex, the corpus callosum and parts of the parietal lobe, with abnormal left and right asymmetry in the amygdala and thalamus, while regions such as the caudate and cerebellum did not differ. Raine himself warned the data neither excuse murder nor prove biology causes it.

    What makes a criminal? (Biological) – Physiological and non-physiological explanations of criminal behaviour. Raine et al. (1997) Brain abnormalities in murderers indicated by positron emission tomography. At least one biological strategy for preventing criminal behaviour., Effect of imprisonment (Social) – Punishment and reform as responses to criminal behaviour. Haney et al. (1973) Study of prisoners and guards in a simulated prison. At least one strategy for reducing reoffending., The collection and processing of forensic evidence (Biological) – Motivating factors and bias in the collection and processing of forensic evidence. Hall and Player (2008) Will the introduction of an emotional context affect fingerprint analysis and decision-making? At least one strategy for reducing bias in the collection and processing of forensic evidence. +3 more

    6 objectives23 tips22 pitfalls7 subtopics

    Section B: Option 3 Environmental psychology

    Two related ideas run through this topic. Territory is a place a person claims and marks, and the useful distinction is between primary space that is owned and controlled, secondary space that is shared but familiar, and public space that nobody holds. Personal space is the portable bubble described in work on proxemics, shrinking for intimates and expanding for strangers, and it is invaded rather than entered. Workplaces stress both at once, since an open plan floor removes the walls that marked a primary territory and hot desking removes the desk itself. The prescribed survey of office personalisation asks what employees gain by marking their space, and finds the answer runs through satisfaction with the physical environment to job satisfaction and wellbeing, with managers underrating the benefit.

    Territory and personal space (Social) – Territory and personal space in the workplace. Wells (2000) Office clutter or meaningful personal displays: The role of office personalization in employee and organisational well-being. At least one office design strategy based on research into territory or personal space., Ergonomics – human factors (Cognitive) – Cognitive overload and the impact of observation in the workplace environment. Drews and Doig (2014) Evaluation of a configural vital sign display for intensive care unit nurses. At least one workplace design based on ergonomic research., Psychological effects of built environment (Social) – The impact of the built environment and urban renewal on our wellbeing. Ulrich (1984) View through a window may influence recovery from surgery. At least one example of environmental design used to improve health/wellbeing. +3 more

    6 objectives23 tips26 pitfalls7 subtopics

    Section B: Option 4 Sport and exercise psychology

    Start by separating the words the specification keeps together. Arousal is a physiological state of activation with no direction, anxiety is a negative emotional response that has a cognitive component of worry and a somatic component of bodily symptoms, and the two are measured differently. The old drive and inverted U accounts treat performance as rising with activation to a peak and then declining gently. The prescribed monograph argues that this is the wrong shape whenever worry is high, because performance then falls off a cliff rather than a slope, and getting it back demands a much larger drop in activation than the level at which it collapsed. That asymmetry is the point examiners look for, and it is why a competitor cannot simply calm down mid game.

    Arousal and anxiety (Biological) – Optimising arousal, controlling anxiety and measuring anxiety in sport. Fazey and Hardy (1988) The inverted-U hypothesis: A catastrophe for sport psychology. At least one technique for managing arousal and anxiety in sport., Motivation (Cognitive) – Self-efficacy and sports confidence, including imagery and sports orientation. Munroe-Chandler et al. (2008) Playing with confidence: the relationship between imagery use and self-confidence and self-efficacy in youth soccer players. At least one strategy for motivating athletes., Audience effects (Social) – How an audience can facilitate or inhibit sports performance; home advantage. Zajonc et al. (1969) Social enhancement and impairment of performance in the cockroach. At least one strategy for training for and playing spectator sports. +3 more

    6 objectives23 tips28 pitfalls7 subtopics

    D.2 – algebra

    Most statistics marks are lost before any arithmetic, in the step where figures from a table are placed in the wrong slots. The routine never changes: say what each letter stands for, check the data are in the state that test requires, and keep one unit throughout. In a test of association the letters stand for the frequency actually counted and the frequency expected if there were no relationship, and an expected cell value comes from its row total multiplied by its column total and divided by the overall number of observations, so that total has to be counted before anything else happens. The counts must be people or events, which is why Piliavin et al. (1969) could analyse how many passengers helped the cane victim and how many helped the drunk victim, but could not feed an average helpfulness score into the same formula.

    Substitute numerical values into algebraic equations using appropriate units for physical quantities (to include: inserting the appropriate values from a given set of data into the formula for a statistical test e.g. inserting the N value (for the number of scores) into the Chi Square formula), Solve simple algebraic equations (to include: calculating the degrees of freedom for a Chi Square test), Understand and use the symbols: =, <, <<, >>, >, ∝, ~ (to include: expressing the outcome of an inferential test in the conventional form by stating the level of significance at the 0.05 level or 0.01 level by using symbols appropriately)

    3 objectives9 tips12 pitfalls3 subtopics

    Ready to master Psychology?

    Start practising with AI-powered quizzes tailored to your OCR A-Level specification.

    Start free

    7 days of full Premium · No card required · Free plan forever after

    Psychology OCR A-Level Topics & Revision | MasteryMind