What do Scientific Investigation questions ask, and how do you answer each kind from the method?
Scientific Investigation question types on ACT Science: identifying variables and controls, explaining the purpose of a step, and proposing or predicting a change to the experimental design.
A focused answer on the Scientific Investigation question types on ACT Science: identifying the variables and controls, explaining why a procedural step was taken, and proposing or predicting how a change to the design would alter the experiment, all answered from the method rather than the results.
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What this topic is asking
The Scientific Investigation reporting category is about how an experiment is built and how it could change. Its questions are answered from the method, not the results: you identify the variables and controls, explain why a step was taken, or propose or predict a change to the design. This page sorts the category into its recurring types with a method for each.
Type 1: identify the design elements
The most basic type asks you to name a part of the design:
- The independent variable (what was deliberately changed).
- The dependent variable (what was measured).
- The controlled variables (what was held constant).
- The control group (the baseline trial).
These are read from the method. As covered in variables, controls, and experimental design, the independent variable usually labels the rows of the results and the dependent variable fills the results column, but the method names them explicitly.
Type 2: explain the purpose of a step
A purpose question asks why the researchers did something: held a variable constant, included a no-treatment trial, repeated a measurement, or used a particular apparatus. The recurring answers:
- Holding a variable constant controls it, so it does not confound the comparison.
- A no-treatment (control) trial gives a baseline to rule out other causes.
- Repeating measurements improves reliability and reduces the effect of random error.
Type 3: modify or extend the design
A modify-or-extend question asks what change to make, or what a change would do:
- Add trials along the tested variable, between and beyond the existing values, to define the trend and check whether it continues. This is the most common "how to improve" answer.
- Predict how changing a condition (a higher temperature, a different concentration) would change the result, by extending the established pattern, as in predicting the results of new trials.
- Avoid changes that introduce a new uncontrolled variable (switching the plant species, changing two things at once), which would muddy the comparison.
Why these come from the method
The defining habit for this category is to return to the method, not the results. The results tell you what happened; the method tells you how the experiment was set up and why, which is exactly what Scientific Investigation questions test. A student who looks only at the data table will miss the controls, the purpose of each step, and the structure that a modify-or-extend question builds on.
Try this
Q1. Name the three recurring Scientific Investigation question types. [2 points]
- Cue. Identify a design element (variables, controls); explain the purpose of a step; modify or extend the design.
Q2. Researchers want to better define how a reaction rate changes with temperature. What change should they make, and what should they avoid? [2 points]
- Cue. Add more temperature trials between and beyond those already tested; avoid changing another condition (such as the catalyst or concentration), which would add an uncontrolled variable.
Exam-style practice questions
Practice questions written in the style of ACT exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
ACT Science (style)1 marksIn an experiment on enzyme activity, every test tube is kept in a 37 degrees Celsius water bath. Keeping the temperature the same in all tubes is intended to: (A) be the independent variable. (B) control temperature so it does not confound the results. (C) measure the enzyme's activity. (D) speed up the experiment.Show worked answer →
A 1-point item on the purpose of a controlled variable.
The correct answer is (B). Keeping every tube at 37 degrees controls temperature, so it cannot vary between tubes and confound the comparison; any difference in activity can then be attributed to the variable being tested. (A) is wrong, since a controlled variable is held constant rather than changed, (C) is the dependent variable, and (D) is not the purpose. Controlling a variable keeps the comparison fair.
ACT Science (style)1 marksResearchers tested three light intensities. To extend the experiment and better define the trend, the best additional step would be to: (A) change the type of plant. (B) test additional light intensities between and beyond those already used. (C) stop measuring growth. (D) remove the control group.Show worked answer →
A 1-point item on extending a design.
The correct answer is (B). Testing more light intensities, both between the existing values and beyond them, adds data points that define the trend more precisely and check whether it continues. (A) changes a controlled variable and muddies the comparison, (C) removes the measurement, and (D) discards the baseline. Extending an experiment usually means adding trials along the same variable.
Related dot points
- Variables and controls on ACT Science: identifying the independent variable, the dependent variable, the controlled variables, and the control group, and explaining the purpose of each design choice.
A focused answer on experimental design for ACT Science Research Summaries: identifying the independent variable, the dependent variable, the controlled (constant) variables, and the control group, and explaining why a step was taken, which is the core of the Scientific Investigation category.
- Comparing experiments on ACT Science: identifying the one design difference between two related experiments and using paired results to attribute an effect to that difference.
A focused answer on comparing related experiments in ACT Science Research Summaries: spotting the single design difference between Experiment 1 and Experiment 2, reading their results side by side, and attributing an effect to the variable that changed while everything else stayed the same.
- Predicting new trials on ACT Science: extending an established pattern to an untested condition, using interpolation within the data and extrapolation beyond it, and stating the prediction's certainty.
A focused answer on predicting the outcome of an untested trial in ACT Science Research Summaries: establishing the pattern in the existing results, extending it by interpolation or extrapolation to the new condition, and judging how certain the prediction is.
- The three ACT Science reporting categories - Interpretation of Data, Scientific Investigation, and Evaluation of Models, Inferences, and Experimental Results - and the skills and approximate proportions of each.
A focused answer on the three ACT Science reporting categories: Interpretation of Data (the largest), Scientific Investigation, and Evaluation of Models, Inferences, and Experimental Results. Covers the skills each one tests, their approximate proportions, and how recognising the category guides your answer.
- Evaluating models and inferences on ACT Science: deciding which conclusion the data support, whether a hypothesis is consistent with a result, and rejecting claims that go beyond the evidence.
A focused answer on the Evaluation reporting category of ACT Science: deciding which conclusion the data actually support, judging whether a hypothesis is consistent with a result, and rejecting answers that overgeneralise or claim more than the evidence shows.
Sources & how we know this
- Description of the ACT Science Test — ACT, Inc. (2025)
- ACT Science Practice Test Questions — ACT, Inc. (2025)