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  3. The scientific investigation

The scientific investigation

What the IB Biology scientific investigation is, how it is marked, the rules on groups, integrity and ethics, and how to choose a focused research question.

  • IB Biology
  • Internal assessment
  • SL and HL

17 min readLast reviewed 14 Oct 2026

The scientific investigation is the internal assessment (IA) of IB Biology. It is an open-ended investigation that you plan, carry out and write up yourself, on a research question of your own choosing. It is the only part of the course in which you work as a practising scientist. You decide what to measure, how to measure it, what the data mean and how far they can be trusted.

The same task, with the same four criteria, is set at SL and HL. The report is marked by your teacher and a sample from each school is then moderated by the IB, so the marks reward what is visible in the written report and nothing else.

What the internal assessment is

Weighting, time and length

The scientific investigation counts for 20% of the final IB Biology grade at both SL and HL. About 10 hours of teaching time is set aside for it, which covers choosing a question, planning, preliminary trials, collecting data and writing. The rest of the practical programme (practical work in lessons and the collaborative sciences project) prepares the skills it uses, but only the scientific investigation is marked.

The final product is a written report of no more than 3,000 words. Moderators are not expected to read beyond 3,000 words, so anything after that point earns nothing. A clear report of 2,000–2,500 words often scores better than one that uses every word, because each point is easier to find.

Counts towards the 3,000 words

Does not count towards the 3,000 words

The research question, background and hypothesis

Charts, graphs and diagrams

The description of the method, variables, safety and ethics

Data tables (raw and processed)

Written analysis, interpretation and the conclusion

Equations, formulae and calculations

The evaluation and improvements

Citations, references and the bibliography

Annotations written as sentences of explanation

Headers

A table or graph does not use up the word count, but the sentences that explain it do. This makes tables a sensible place to hold detail such as the list of controlled variables, provided each entry is short and the table is referred to in the text.

Common mistake

Moving key explanations into an appendix to save words. Moderators assess the body of the report and may not read an appendix, so a justification of a method or a sample calculation placed there may not be credited. Keep everything that earns marks in the body of the report.

The four criteria at a glance

The report is marked against four criteria, each worth 6 marks, for a total of 24. Each criterion has three bands (1–2, 3–4, 5–6), and 0 is given if no descriptor is met. Your teacher reads the whole report and chooses the band that fits it best, then the mark within the band. The flow diagram of an investigation shows how the four criteria follow the stages of the work.

Six stages in a column: research question; method and variables; collect raw data; process data; conclusion; weaknesses and improvements. Brackets group them as Research design, Data analysis, Conclusion and Evaluation, 6 marks each. A dashed arrow loops from improvements back to method.Six stages in a column: research question; method and variables; collect raw data; process data; conclusion; weaknesses and improvements. Brackets group them as Research design, Data analysis, Conclusion and Evaluation, 6 marks each. A dashed arrow loops from improvements back to method.
Each criterion assesses one stage of the investigation. The dashed arrow shows that evaluation feeds back into a better design.

Criterion

Marks

What it assesses

Top band in brief

Research design

6

The research question, its context and the method

A focused question set in a specific context; methodological choices (controls, data sufficiency, safety, ethics) explained; a method detailed enough for someone else to repeat

Data analysis

6

Recording, processing and presenting data, and handling uncertainty

Clear and precise recording and processing; uncertainties considered properly; processing relevant to the question and carried out accurately

Conclusion

6

Whether the answer to the research question follows from the analysis

A conclusion justified by and fully consistent with the processed data and its uncertainty, and compared with published science

Evaluation

6

Weaknesses and limitations of the method, and improvements

The relative impact of specific weaknesses on the results explained; realistic, relevant improvements explained

The descriptors use the IB command terms in a ladder. A lower band is reached when something is stated; the middle band when it is outlined or described; the top band when it is explained or justified. Writing "temperature was controlled" states a control. Writing how it was controlled and why an uncontrolled temperature would change the rate of reaction explains it.

Exam tip

Moderators reward evidence they can see. A control you used but did not write down, or a calculation you did in a spreadsheet but did not show, earns nothing. Include one sample calculation for each type of processing and say in a sentence what every table and graph shows.

Half of the marks (Conclusion and Evaluation) are for thinking that happens after the data are collected. A common pattern is a well-planned investigation that loses marks because the student ran out of time for these two sections, so a realistic timeline leaves time for both.

YouTube
Overview of the 2025 IB Biology internal assessment: the four criteria, the word limit and what each section of the report needs.

Working alone or in a group

You may carry out the investigation alone or collaborate in a group of up to three students. Collaboration can make a more ambitious method possible, for example a field study that needs several people to place quadrats, or a laboratory set-up that is slow to prepare.

The rules for group work protect the individual nature of the assessment:

  • The group may share a general methodology and may collect data together.

  • Each student must have their own research question. Usually this means a different independent variable or a different dependent variable from the other members.

  • Each student analyses their own data, relevant to their own question. Two students cannot submit the same raw data set.

  • Each student writes an individual report. A group report is not allowed.

  • The report says that the work was collaborative and names what was shared.

Worked example

Three students want to work together on photosynthesis in the pondweed Cabomba caroliniana, counting oxygen bubbles or measuring the volume of oxygen released. Suggest three research questions that would satisfy the rules for group work.

Show the solution

Each question must differ in its independent or dependent variable while the method stays the same.

  1. What is the effect of light intensity (distance of the lamp: 5, 10, 15, 20, 25, 30 cm) on the rate of oxygen production by C. caroliniana?

  2. What is the effect of sodium hydrogencarbonate concentration (0.00–1.00% in six steps) on the rate of oxygen production by C. caroliniana?

  3. What is the effect of the colour (wavelength) of light, using filters, on the rate of oxygen production by C. caroliniana?

All three use the same apparatus, the same plant supply and the same way of collecting gas, so the group can share the set-up. Each student still has an independent variable of their own and analyses only their own data.

The range of approaches

The investigation does not have to be a laboratory experiment. Any approach is acceptable if it produces enough relevant data to answer the research question. Approaches can also be combined, for example a hands-on experiment checked against a published data set.

Approach

Type of data

Biology example

What to watch

Hands-on laboratory experiment

Primary

Effect of pH on the rate of starch digestion by amylase, measured with a colorimeter

Control of variables; enough levels and repeats in the time available

Fieldwork

Primary

Correlation between light intensity and the percentage cover of ivy (Hedera helix) along a woodland transect

Many variables cannot be controlled, so they are monitored; sampling must be random or systematic; minimal disturbance of the site

Database

Secondary

Relationship between latitude and first flowering date, using a national phenology record

The data must be selected by a clear rule and processed further; copying values is not analysis

Simulation

Primary (generated)

Effect of initial allele frequency on the time to fixation in a genetic drift simulation

A simulation that gives the same output every time has no variation to analyse; justify the settings

Modelling

Primary or secondary

A spreadsheet model of logistic population growth compared with counts of yeast cells

The model must be tested against data, not just described

Databases used for biology investigations include GenBank (DNA sequences, compared with BLAST), the Protein Data Bank, national climate and phenology records and published ecological surveys. A database investigation is marked against the same criteria, so it still needs a focused question, a justified way of selecting the data, processing, uncertainty and an evaluation of the data source.

Tip

A quick test for any approach: can you name the independent variable, the dependent variable and at least five values of the independent variable, each measured several times? If you can, the approach will probably produce enough data.

Academic integrity

The report must be your own work. Your teacher sees the work in progress and authenticates the final report, and both of you confirm that it is your own. Teachers may give you feedback on one draft; after that, the report is your responsibility.

  • Cite every source you use: textbooks, papers and websites for the background, any published method you adapted, databases, simulations and every image or diagram you did not make yourself. Use one referencing style consistently.

  • Acknowledge collaboration. Name the group members and what you shared.

  • Record data honestly. Leaving out results because they do not fit, adjusting values or inventing repeats is malpractice. Anomalous results stay in the raw data table and are discussed.

  • Declare the use of AI tools. If a generative AI tool was used (for example to suggest a method or to check code for a spreadsheet), it must be acknowledged and cited like any other source. Presenting text, analysis or ideas produced by an AI tool as your own is malpractice.

Common mistake

Citing only in the bibliography. A reference list at the end does not show which idea came from which source. Put an in-text citation where the information is used, for example "(Taha, 2016)" after a published optimum temperature.

Ethics and safety

The IB animal experimentation policy

The IB has its own guidelines for the use of animals in IB schools, and they are deliberately stricter than those used in universities, because school investigations train skills rather than produce new research. They apply to every animal, invertebrates as well as vertebrates, and to humans.

  • No investigation may cause pain, undue stress or harm to an animal, or put its health at risk. Changing an animal's food, environment or behaviour in a way that could harm it is not allowed.

  • Alternatives come first (replacement): cells, tissues, plants, microorganisms, databases or computer simulations are used instead of animals wherever they can answer the question.

  • If animals are essential, the method is changed to reduce any distress (refinement) and to use as few animals as possible (reduction).

  • Fieldwork observes organisms in their own habitat with as little disturbance as possible. Organisms that are moved, for example woodlice placed in a choice chamber, are handled gently and returned where they were found.

  • Any investigation involving live animals is discussed with your teacher and approved before it starts.

Investigations with human participants

Investigations on people, such as the effect of exercise on heart rate or of practice on reaction time, are allowed only under conditions that protect the participants.

  • Each participant gives written, informed consent after being told what will happen, and can withdraw at any time without giving a reason. Participants under 16 also need the written consent of a parent or guardian.

  • There is no risk of physical or psychological harm and no deception. Exercise stays within each participant's normal ability, under a teacher's supervision.

  • Results are anonymised (participant A, B, C) and kept confidential.

  • Investigations involving body fluids, such as blood, are not allowed, because of the risk of transmitting blood-borne pathogens. The only exception is an investigator using their own saliva or sweat. No participant is given a drug, supplement or food they would not normally take.

Safety and the environment

A risk assessment is part of the Research design criterion. It names the specific hazards of your method (hydrogen peroxide as an irritant, a water bath at 60 °C, a scalpel, a bacterial culture), the risk each poses and the precaution taken. Microbiology investigations use aseptic technique, sealed plates, incubation at no more than about 25–30 °C so that human pathogens are not favoured, and safe disposal by autoclaving. Environmental impact covers the disposal of chemicals and the effect of fieldwork on the site.

Exam tip

Generic safety statements ("wear goggles", "be careful") earn little. Moderators reward a hazard specific to the method, its risk and the precaution: "Hydrogen peroxide at 3% is an eye irritant; safety glasses were worn and spills were wiped up with water."

A timeline from topic to submission

Schools set their own internal deadlines, so the timeline in the table is a typical pattern rather than a fixed rule. Most of the 10 hours of class time go on preliminary trials and data collection; reading and writing happen around them.

Stage

What you do

Typical time

1. Choose a topic

List ideas linked to the course; check that the variables can be measured with the apparatus available

Week 1

2. Research question and background

Read around the topic; write a focused research question; outline the theory and a hypothesis; get teacher approval

Weeks 1–2

3. Preliminary trials

Test the method on a small scale; choose the range, increments and timings; find the problems

Week 3

4. Final method and risk assessment

Fix the method, list the controlled variables and how each is controlled, complete the risk assessment

Week 3

5. Data collection

Collect all levels and repeats in as few sessions as possible; record raw data and qualitative observations at once

Weeks 4–5

6. Processing and analysis

Calculate means, standard deviations and rates; draw graphs; carry out a statistical test

Week 6

7. Conclusion and evaluation

Answer the research question with the data; compare with published science; evaluate weaknesses and improvements

Week 7

8. First draft and feedback

Submit one complete draft; act on the teacher's feedback

Week 8

9. Final report

Check the word count, citations and the pre-submission checklist; submit

Week 9–10

Tip

Keep a dated lab notebook (paper or digital) from the first day: ideas, trial results, changes to the method and photographs of the set-up. It makes the method easy to write and shows the work is your own.

How to choose a strong research question

What a research question is

Definition

Research question: a single, focused question that names the independent variable (or two variables being correlated), the dependent variable and how it is measured, and the organism or biological system studied.

The research question sets the limits of the whole investigation. A focused question makes the method obvious, tells the reader what the graph will show and makes the conclusion easy to write, because the conclusion is the answer to it. A vague question leads to a vague method and a conclusion that cannot be tested against the data.

A strong research question for an experiment usually has this form: What is the effect of [independent variable, with its range] on [dependent variable, with how it is measured] in [organism, by scientific name, or system]? For a correlation study, What is the relationship between [variable 1] and [variable 2] in [population or site]? A hypothesis is not compulsory, but a prediction with a reason based on theory helps to show the context.

Features of a strong question

  • One independent variable, which can be changed in at least five measured steps (or, in a correlation, measured over a wide range).

  • A quantitative dependent variable measured with an instrument, not judged by eye. Quantitative data can be processed and tested; qualitative data such as colour support the analysis but rarely answer the question alone.

  • A specific organism or system, named precisely: "catalase in potato tuber (Solanum tuberosum)", not "enzymes in vegetables".

  • Real biology behind it: a mechanism (enzyme kinetics, osmosis, limiting factors) that explains why the variables should be related, so the conclusion can be compared with accepted theory.

  • Feasible: the data can be collected safely, ethically and within the hours available, with enough repeats.

  • Not trivial: the answer is not already obvious, or the investigation finds something more precise than the obvious answer (such as the position of an optimum or the isotonic point).

Turning weak questions into focused ones

Worked example

A student writes the research question "How does temperature affect enzymes?" Explain why it is weak and rewrite it as a focused research question.

Show the solution

The question names neither the enzyme nor the source, gives no range of temperatures and does not say what will be measured. "Affect enzymes" could mean the rate of reaction, the denaturation of the enzyme or its shape.

Focused version: What is the effect of temperature (20, 30, 35, 40, 45, 50 and 60 °C) on the rate of catalase activity in potato tuber (Solanum tuberosum), measured as the volume of oxygen released from 3% hydrogen peroxide in 60 s?

The new question names the independent variable and its range, the dependent variable and its unit of measurement, and the source of the enzyme. The narrower steps between 35 and 45 °C show that the student has thought about where the optimum is likely to be.

The same process works for any topic. Narrow the system to one organism, choose one variable to change and one to measure, and decide how each will be measured before writing the final wording.

Common mistake

Choosing an independent variable that is really many variables. "The effect of different fruit juices on the growth of bacteria" changes sugar content, pH, vitamin C and preservatives all at once, so no conclusion about any one cause is possible. Choose one factor, such as the concentration of a single juice or the pH of a buffer, and change only that.

Worked example

A student plans to study "the effect of pollution on plants near a road". Suggest how to turn this into a focused research question for a field investigation.

Show the solution

"Pollution" and "plants" are both too broad. The student needs one measurable factor that varies with distance from the road and one measurable response of one species.

Focused version: What is the relationship between distance from a main road (0–50 m, at 5 m intervals) and the percentage cover of lichens on the north side of ash trees (Fraxinus excelsior)?

Distance can be measured precisely along a transect, percentage cover can be estimated with a grid quadrat, and one tree species and one side of the trunk control two major variables. The question links to the theory that many lichens are sensitive to air pollutants, including the nitrogen compounds in vehicle exhausts.

Strong and weak biology investigation ideas

The table compares ideas that usually work well with ideas that usually run into trouble, and the reason in each case.

Strong idea

Why it works

Weak idea

Why it struggles

Effect of hydrogen peroxide concentration on the rate of oxygen release by potato catalase

Concentration is easy to vary in five or more steps; gas volume is measured precisely; links to enzyme kinetics in C1.1

"Which vegetable has the most catalase?"

Categorical independent variable with many hidden differences; no theory predicts a ranking

Effect of sucrose concentration on the percentage change in mass of sweet potato (Ipomoea batatas) cylinders

Finds the isotonic point by interpolation; links to water potential in D2.3

Effect of salt on plants watered for six weeks

Too slow to repeat; many uncontrolled variables (light, temperature, pests)

Effect of light intensity on the rate of photosynthesis in Cabomba caroliniana

Light can be varied by distance or a dimmer; gas production measured; links to limiting factors in C1.3

Effect of music on plant growth

No plausible mechanism; growth is slow and highly variable

Effect of temperature on the permeability of beetroot (Beta vulgaris) membranes, measured by colorimetry

Absorbance is an objective measure of pigment released; links to membrane structure in B2.1

Effect of temperature on beetroot, judging colour by eye

Subjective dependent variable; no numbers to analyse

Relationship between leaf position and stomatal density in one species

Countable data from nail-varnish impressions; many repeats possible; links to B3.1

Effect of exercise on stress in pet hamsters

Unethical under the animal experimentation policy

Divergence of cytochrome c sequences between primates, from NCBI databases

Large free data set; clear processing (percentage difference); links to A3.2 and A4.1

Copying published heights of species from a website

No processing or analysis beyond copying values

Exam tip

A research question earns more credit when it is set in a specific context. Moderators look for background theory that explains why the two named variables should be related in your chosen organism, not a general account of the topic. Two or three paragraphs of focused, cited theory are enough.

Investigations rarely work perfectly the first time. Preliminary trials, changes to the method and unexpected results are part of how science is done, and describing them honestly in the report strengthens the Research design and Evaluation criteria.

Before you start: a planning checklist

  • To do:

    My research question names one independent variable, one dependent variable with how it is measured, and the organism by its scientific name.

  • To do:

    I can test at least five values of the independent variable, with at least five repeats of each, in the time available.

  • To do:

    The dependent variable is measured with an instrument and has a known uncertainty.

  • To do:

    I can explain the biology that links my two variables, and I have at least two reliable sources for it.

  • To do:

    The investigation is safe, ethical under the animal experimentation policy, and has my teacher's approval.

  • To do:

    If I am in a group, my research question and data are different from those of the other members.

  • To do:

    I have planned time for the conclusion and evaluation after the data are collected.

Tip

Improve your notes. Write three possible research questions for one topic you have enjoyed in the course (for example osmosis in D2.3, enzymes in C1.1 or photosynthesis in C1.3). For each, list the independent variable with five values, the dependent variable with its instrument and uncertainty, and the theory that links them. Choose the one that is easiest to repeat accurately.

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