OCR AS Level · Analysis & Prediction

2023 OCR AS Level Psychology - H167 Past Paper Analysis

An expert analysis of the 2023 OCR AS Level Psychology (H167) examinations. This series comprises Paper 1 (Research Methods) and Paper 2 (Psychological Themes through Core Studies), highlighting critical mathematical skills, experimental design application, core study details, and key conceptual debates.

Updated: 14 Jun 2026

Analysis Sample paper

Difficulty 3.2/5

Total marks

150

Duration

180 mins

Most tested

Data recording, analysis and presentation

Paper breakdown

Paper 1: Research methods: 75 marks · 90 minsPaper 2: Psychological themes through core studies: 75 marks · 90 mins

Top chapters

Data recording, analysis and presentation · 33 marksCore Studies · 28 marksAreas, perspectives and debates · 25 marksKey themes and areas of psychology · 25 marks

Exam Difficulty & Structure Analysis

The 2023 OCR AS Level Psychology (H167) examinations present a balanced but highly demanding set of questions that evaluate both theoretical knowledge and practical execution. With a difficulty index of 3.2 out of 5, the papers test candidates on their ability to move fluidly between abstract psychological debates and the concrete application of research methods. The assessment comprises two papers: Paper 1 focuses on Research Methods, demanding high-level design skills and statistical accuracy, while Paper 2 explores Core Studies and psychological themes, requiring detailed recall and comparative evaluation.

Core High-Tariff Areas & Mark Distribution

Marks are heavily concentrated in several key areas. In Paper 1, the high-tariff 12-mark research design question (Question 17) on laboratory experimentation requires students to demonstrate practical application of design choices. Additionally, Data recording, analysis, and presentation remains the single largest topic across the suite, accounting for 33 marks. Students are tested on everything from basic ratio simplifications to drawing fully labelled bar charts, calculating percentages, and explaining inferential tests like the Chi-square. In Paper 2, high-tariff marks reside in Section B's 11-mark comparative essay (Question 6e) and Section C's practical applications, which together demand robust structuring and explicit links back to the core studies.

Examiner Pitfalls & Critical Areas of Concern

Analysis of the examiner reports reveals several critical areas where candidates consistently lost marks:

Failing to link design to personal practicals: In Paper 1, Question 17, candidates who failed to explicitly link all three required design features to their own practical activities were capped at a maximum of 9 out of 12 marks.
Confusing findings with conclusions: In data interpretation questions (e.g., Question 23), candidates frequently listed raw numerical findings instead of drawing a conceptual conclusion, which severely restricted their marks.
Lack of context: Across both papers, generic answers lacking contextual reference to the specific scenarios (e.g., motorists' annoying behaviours or prosocial music lyrics) were heavily penalised.
Imprecise definitions: Many students provided general dictionary definitions of concepts like reliability or controls instead of explaining how they were operationalised within specific core studies (e.g., Milgram's standardised verbal prods or Baron-Cohen's standardised Eyes task).

Strategic Revision & Upcoming Predictions

To maximise performance in the upcoming series, candidates must prioritise active recall of core study procedures, specifically details concerning the manipulation of independent variables and sample demographics. For mathematical questions, practicing the structural steps of statistical decision-making is vital. You must be able to state why a test is used, calculate degrees of freedom using the formula \( df = (R-1) \times (C-1) \), and explain how a critical values table is used at \( p < 0.05 \). Finally, ensure that you can confidently link any theoretical method back to a real-world class practical you have conducted.

Charts

Marks by chapter

See where the marks were concentrated so revision time goes to the highest-value topics.

Question type mix

Compare the mark share of each paper section and question type.

Multiple Choice15 marks · 15 questions
Short Answer50 marks · 25 questions
Structured Questions28 marks · 8 questions
Extended Response / Essay57 marks · 4 questions

Mark accessibility

Estimate which marks were basic, mid-level, or high-difficulty.

77%within easy or medium reach

easy: 35 marksmedium: 80 markshard: 35 marks

Difficulty trend

Compare difficulty across recent years.

Command word frequency

Spot common command words so answers match the expected response style.

Skill weighting

Shows the skill mix this paper tested most heavily.

Study ROI

Bigger bubbles recur more often; higher bubbles carry more marks, helping you rank revision priorities.

Data recording, analysis and presentation

33 marks · Difficulty 3 · recurrence 5%

Core Studies

28 marks · Difficulty 2.5 · recurrence 5%

Planning and conducting research

16 marks · Difficulty 2.8 · recurrence 4%

Research methods and techniques

15 marks · Difficulty 2 · recurrence 5%

Areas, perspectives and debates

25 marks · Difficulty 4 · recurrence 4%

Practical activities

7 marks · Difficulty 3 · recurrence 3%

Time vs marks

Compare marks with suggested time allocation to plan exam pacing.

marksmins

Next-year prediction

Topics worth watching next year, with the reason shown directly below each bar.

Research methods and techniques90%

A fundamental baseline component of Paper 1 that is consistently high-yield. Expected to return to higher mark density covering specific experimental designs and reliability testing.

Practical activities85%

Examiners heavily emphasize students' reflection on their own practical activities. Since only 7 marks were allocated to this across Paper 1 and 2, upcoming sessions will likely target this area for high-tariff evaluation questions.

How science works80%

Under-represented in this series with only 1 MCQ mark. Future series are highly likely to feature questions on peer review, ethical guidelines, and the scientific nature of psychology in short or structured answer formats.

Topic-year heatmap

Compare topic weight by year to spot recurring and returning areas.

Jun 2022

Jun 2023

Research methods and techniques

Data recording, analysis and presentation

Core Studies

Areas, perspectives and debates

Key themes and areas of psychology

Planning and conducting research

Practical activities

How science works

Examiner insights

Official report

Common pitfalls

Listing raw numerical data instead of drawing qualitative interpretations (conclusions) when asked to derive conclusions from a data table.
Omiting one of the levels of the Independent Variable (IV) or failing to fully operationalise both the IV and DV when formulating a null hypothesis.
Failing to explicitly link design decisions to the candidate's own classroom practical work, leading to a hard cap on high-tariff design questions.
Drawing a bar chart that is missing key elements of contextualisation (e.g., omitting specific mentions of motorists or annoying behaviours in the title or axis labels).
Providing generic dictionary-style definitions of terms like 'reliability' or 'controls' without demonstrating how they apply within the specific framework of the studied core research.

Misconceptions

Believing that qualitative data cannot be compared (it can be compared, though not as quickly or direct as numerical scales).
Assuming that a bar chart and a histogram are interchangeable (drawing a histogram for nominal/discrete categories caps the maximum mark at 2).
Using relational or correlational wording (e.g. 'relationship') for experimental hypotheses instead of focusing on differences.
Thinking that a generic evaluation point can score full marks on practical questions without showing a direct connection to the candidate's actual class activities.

Where marks are lost

Capping at 9 marks out of 12 on the laboratory design question (Paper 1, Q17) due to a failure to link all three required elements to personal class practical experiences.
Losing marks on Paper 2 comparative essays (Q6e) by failing to offer at least three distinct points of comparison (covering both similarities and differences) supported by study evidence.
Failing to show full intermediate working out in calculation questions, preventing the acquisition of method marks when final figures contain mathematical slips.
Failing to explain the dual steps of using degrees of freedom (failing to mention mapping it to critical value tables and referencing significance levels of 0.05).

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