Psychology OCR A-Level Topics & Revision
The OCR A-Level Psychology specification covers 18 topics. Use MasteryMind to revise every topic with learning objectives, exam tips, and practice questions aligned to your exact specification.
Topics Covered
- E2E stub topic
- Research methods and techniques
- Planning and conducting research
- Data recording, analysis and presentation
- Report writing
- Practical activities
- How science works
- Section B: Option 1 Child psychology
- Section B: Option 2 Criminal psychology
- Section B: Option 3 Environmental psychology
- Section B: Option 4 Sport and exercise psychology
- Section A: Core studies
- Psychological themes through core studies (Component 02)
- Applied psychology (Component 03)
- Research methods (Component 01)
- Section B: Areas, perspectives and debates
- Section C: Practical applications
- Section A: Issues in mental health
Exam Tips for OCR A-Level Psychology
- Always structure evaluation answers using the 'PEEL' method (Point, Evidence, Explanation, Link) to ensure logical flow and coverage of assessment objectives.
- For research methods questions, practice designing studies from scratch, including full ethical considerations and data analysis plans.
- In essays, integrate named studies and real-world applications to demonstrate deep understanding, not just textbook knowledge.
- When evaluating, always consider both sides (e.g., strengths and weaknesses) and use phrases like 'however' or 'on the other hand' to show balance.
- Ensure familiarity with the mathematical requirements, as 10% of marks are for math in context.
- Practice interpreting novel data sources and hypothetical research scenarios.
Common Mistakes to Avoid
- Confusing correlation with causation without appropriate justification.
- Failing to explicitly link ethical issues to specific BPS guidelines (e.g., making vague statements about 'ethics' without mentioning informed consent or deception).
- Misapplying statistical tests by not checking assumptions (e.g., using a parametric test for ordinal data).
- Overgeneralising results from small or unrepresentative samples without acknowledging limitations.
- Confusing different levels of measurement (nominal, ordinal, interval).
Key Terms
- Research design and methodology