IB Psychology HL Topic 9 — Exam Guidance Paper 3 Q2 Data skill ~8 min read

Paper 3, Question 2: What to Write

Six marks for analysing one source and stating a conclusion linked to the claim. The single most common way to lose marks here is to describe the findings beautifully and never say what they mean. Analysis is description plus interpretation plus a verdict.

📘 What you need to know

The four moves

Six marks, four moves 1. IDENTIFY What kind of data, and what it shows 2. ANALYSE Figures, patterns, which group did best 3. LINK To a concept or theory you know 4. CONCLUDE One sentence that answers the claim Move 4 is compulsory for full marks. Analysis without a conclusion is an unfinished answer, however good the description of the data is.
Write the conclusion sentence first if it helps. Knowing where you are heading keeps the analysis pointed at the claim.

What analysing quantitative data looks like

If the source gives numbers, use them. Quote raw scores or descriptive statistics: means, medians or modes as measures of central tendency, and range or standard deviation as measures of spread. If inferential statistics are given, say whether the result was significant and at what level of probability.

Then say which condition performed better and what that suggests. If it is relevant, comment on the shape of the data too — is the distribution normal, or is it skewed?

What analysing qualitative data looks like

Qualitative sources have no means to quote, so the analysis shifts. Focus on how the findings were categorised or presented, what themes emerged, and what limits how the data was gathered — sample size, potential bias, the researcher’s own influence on what was recorded.

Same question, different toolkit. For numbers you ask “how big is the difference and is it meaningful?”. For qualitative data you ask “who decided what these categories were, and what got left out?”.

The language that scores

Two phrase banks worth memorising FOR THE ANALYSIS FOR THE CONCLUSION higher than, lower than rose sharply, levelled off more likely to, twice as the gap widened by compare, do not just list the findings support to some extent partially, but only if this suggests rather than qualify, avoid absolutes A qualified conclusion is stronger than a confident one that overreaches.
“The data proves the claim” is almost always wrong. “The data supports the claim to some extent, although…” is almost always right.

Worked example

WORKED EXAMPLE

Source 2 is a scatterplot of hours spent making notes on a smartphone against marks in a class test. Analyse the findings and state a conclusion. [6 marks]

1 Identify The data is a scatterplot, so the co-variables are hours of note-taking on a smartphone and marks awarded in a class test. 2 Analyse There is a reasonably strong negative relationship: as hours rise, marks tend to fall. A few points sit away from the trend, but not enough to break the overall pattern. 3 Link This fits ideas about divided attention and cognitive load: a device that carries notifications competes for the same limited processing resources as the learning task. 4 Conclude, with a qualifier The findings support the claim to some extent. However, this is correlational, so no cause and effect can be established — weaker students may simply prefer typing notes — and it remains unclear whether smartphone note-taking actually impairs performance. Identified, analysed, linked, concluded and qualified The qualifier is not hedging. It is precision, and the mark scheme rewards it.

💡 Exam tip

⚠ Common mix-up

Up next: Paper 3, Question 3: What to Write — credibility, bias and transferability, and how to suggest improvements that would actually work.

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