TEAS Science: Scientific Reasoning — What to Review
Scientific reasoning is one of the areas tested in the ATI TEAS Science section. It is not only about memorizing scientific facts. You also need to understand how scientists design investigations, interpret information, and use evidence. ATI currently lists Scientific Reasoning as one of four major areas within the TEAS Science section, alongside human anatomy and physiology, biology, and chemistry.
Understand Variables
A good starting point is learning the difference between variables. Review:
- Independent variables
- Dependent variables
- Controlled variables
- Control groups
- Experimental groups
When looking at an experiment, ask yourself what the researcher changed and what was measured as a result.
Review Experimental Design
Practice identifying the purpose of an experiment and understanding how an investigation is structured. You should be comfortable with ideas such as:
- Forming a hypothesis
- Collecting observations
- Conducting experiments
- Recording results
- Drawing conclusions
The goal is to understand why each part of an investigation is important.
Practice Reading Data
Scientific questions may present information in different formats. Practice interpreting:
- Tables
- Charts
- Graphs
- Diagrams
- Experimental results
Always check the labels and units before interpreting the information.
Understand Evidence and Conclusions
A conclusion should be supported by evidence. When reviewing an experiment, ask:
What does the evidence actually show?
Avoid choosing an answer simply because it sounds scientifically reasonable. Look for the answer that is supported by the information provided.
Practice Scientific Reasoning Questions
Don't study scientific reasoning only by reading notes. Use practice questions and explain why each answer is correct or incorrect. This can help you recognize patterns in experimental questions.
Final Thoughts
Preparing for TEAS Scientific Reasoning means learning how to think through scientific information. Review variables, experimental design, data interpretation, evidence, and conclusions, then reinforce those skills with practice questions.
