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IB ESS IA: 2026 criteria and fieldwork planning

For first assessment in 2026, the ESS investigation is marked out of 30 across six criteria. It contributes 25% at SL and 20% at HL, with a report limit of 3,000 words.

Mert Yılmaz4 min read

For first assessment in 2026, the ESS investigation is marked out of 30 across six criteria. It contributes 25% at SL and 20% at HL, with a report limit of 3,000 words.

The current criteria

CriterionMaximum
A: Research question and inquiry4
B: Strategy4
C: Method4
D: Treatment of data6
E: Analysis and conclusion6
F: Evaluation6
Total30

Use the guide for your examination session. These six criteria should not be mixed with an older 24-mark rubric or an invented four-by-eight-mark model. A raw IA score is not a guaranteed final subject grade.

Choose a question that the data can answer

Start with an environmental issue and narrow it to a measurable relationship or comparison. Specify the location or data source, variables and scope. For example, comparing water-quality measurements across sites requires a reason for selecting those sites and a method for handling differences in sampling conditions.

Separate the question from the desired conclusion. The investigation should still make sense if the results do not support the original expectation.

Plan fieldwork before collecting data

Record the sampling approach, equipment resolution, measurement procedure and any ethical or environmental constraints. A small pilot can reveal inconsistent measurements before the main collection begins. Retain the raw data and explain exclusions rather than deleting inconvenient observations.

Connect the investigation to a strategy

Discuss a relevant existing or developing response to the environmental issue and the tensions between stakeholder perspectives. Keep this discussion connected to the investigation; a generic paragraph about sustainability does not establish that connection.

Process, interpret and evaluate

Label tables and graphs with variables and units. Choose calculations that answer the research question. Explain what the results show, how uncertainty limits the conclusion, and whether a proposed improvement would reduce a specific limitation. Avoid a list of vague mistakes such as human error without explaining its effect.

The report must remain the student's own work. Use teacher feedback and the official descriptors to identify revisions; a checklist or automated estimate does not replace school assessment and IB moderation.

Sources

Frequently asked questions

Can I use data from a group experiment in my ESS IA?
Yes, but only if your IA clearly shows your individual contribution to the data collection. If several candidates collected data together at the same site, each IA should focus on a different analysis, a different site subset, or a different research question derived from the shared data. Identical submissions from multiple candidates will be flagged for academic misconduct investigation. Discuss your approach with your supervisor before you begin writing.
What is the maximum length for the ESS IA?
The IA report must be a maximum of 12 pages, including all text, tables, graphs, diagrams, photographs, and the bibliography. Appendices are permitted but are not marked — they exist to demonstrate raw data and additional evidence. Most candidates find that 10-12 pages is optimal; going over 12 pages results in the excess pages being disregarded by examiners.
How important is statistical analysis in the ESS IA?
Appropriate statistical analysis is essential for any IA that collects quantitative data. The Analysis criterion requires candidates to present data clearly, apply at least one appropriate statistical tool (such as standard deviation, correlation, or a test of significance depending on data type), and interpret the results. Statistical tools must be chosen because they answer a specific analytical question — not simply included because they were covered in class.
My school has limited fieldwork resources. Can I still get a high IA grade?
Absolutely. Examiner moderation focuses on the quality of thinking in your investigation, not the sophistication of your equipment. Candidates who work creatively within constraints — using smartphone apps for measurements, collecting data from accessible sites, incorporating secondary datasets alongside primary data — consistently achieve high grades when they demonstrate methodological awareness and critical evaluation. The key is to document your constraints transparently and evaluate their impact on your data.
When should I start planning my ESS IA?
The ideal time to begin thinking about your IA is during the first year of the course, before external deadlines create pressure. Field-based investigations are seasonal — aquatic studies require data from different weather conditions; vegetation studies require fieldwork during the growing season. Starting early gives you the time to refine your research question, collect meaningful data, and develop the analytical skills that the rubric rewards.

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