IB Strategy
How to Get Full Marks in Data-Based Questions DBQs are where IB students leave the most marks on the table. Use the READ framework to fix that.
DBQs are where IB students leave the most marks on the table. Use the READ framework to fix that.
Choose one focused bank, make an attempt, then return to the step that helped you move.
R — Read carefully: Title, axes, units, scale, range (60-90 seconds)
E — Extract values: Quote exact numbers with units
A — Analyze trends: Direction + quantification + changes + anomalies
D — Deduce and explain: Connect data to theory with correct terminology
Vague descriptions ("it goes up")
Missing units
Not quoting data when asked to
Confusing correlation with causation
Ignoring outliers
Over-interpreting beyond the data
Forgetting to evaluate/discuss limitations
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No. Marks depend on the exact question and applicable markscheme or markband. A workflow can reduce avoidable reading, calculation and interpretation errors, but it cannot replace subject knowledge or guarantee a result.
No. They share skills such as reading units, extracting evidence and interpreting patterns, but Science may require experimental, uncertainty or model reasoning while Economics requires economic theory, diagrams and application to the supplied context. Follow the current subject guide and question-specific instructions.
Only when the question and evidence require it. A comparison or trend usually benefits from appropriate quantified support, while a definition or theoretically correct diagram may be assessed differently. Never add an irrelevant number merely to follow a template.
Read units and scale before calculating, carry enough precision through working and present the answer according to the applicable subject convention and markscheme. Economics and Science questions may specify different rounding, unit or uncertainty expectations.
No. A relationship can support a description or hypothesis, but a causal conclusion needs an appropriate design, mechanism and control of alternatives. State only what the data and method justify.
There is no universal 60- or 90-second rule. Allocate time according to the paper, marks, complexity and remaining questions. Practise a repeatable source-and-axis audit, but shorten or extend it based on evidence from timed attempts.
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