TEAS 7 Scientific Reasoning Practice Test

Identifying the roles of variables clarifies what the researcher changes and what is measured, which is essential for understanding how a study investigates cause-and-effect relationships. The independent variable is the factor deliberately altered to see its impact, while the dependent variable is the outcome that gets measured to observe any changes resulting from that manipulation. When you frame a study this way, you can see whether changes in the outcome truly correspond to the manipulation and how large that effect is, which is the core of interpreting results and assessing causality.

The other aspects mentioned—such as the color of graphs, the sample size, or the data collection method—don't directly identify which factor is being manipulated or measured. Graph color relates to presentation, sample size affects power and precision, and data collection method describes how data are gathered, not what is being tested or how changes are quantified.