Question

In a student's lab report, she listed 2 independent variables. Could this student make valid conclusions from the results of her experiment? Why or Why not?

a. Yes, because multiple independent variables enhance the validity of conclusions.
b. No, because having more than one independent variable complicates the interpretation of results.
c. Yes, as long as the dependent variable is well-defined.
d. No, unless there is a control group.

Answer 1

b. No, because having more than one independent variable complicates the interpretation of results.

Step-by-step explanation:

In experimental design, having multiple independent variables introduces complexity and makes it challenging to isolate the impact of each variable on the dependent variable. The relationship between variables becomes difficult to discern, leading to potential confounding factors. This complicates the interpretation of results and undermines the ability to draw clear and reliable conclusions.

When there are two independent variables, their combined effects on the dependent variable can obscure the true cause-and-effect relationships. Without a controlled and systematic approach to vary each independent variable independently while keeping others constant, the student may struggle to attribute observed changes in the dependent variable to specific factors. This lack of clarity compromises the validity of conclusions drawn from the experiment.

While a well-defined dependent variable is crucial for valid conclusions, the presence of multiple independent variables adds a layer of complexity that can overshadow the clarity needed for sound scientific inference. Therefore, the correct interpretation is that having more than one independent variable hinders rather than enhances the validity of conclusions in this context.

Correct option is b. No, because having more than one independent variable complicates the interpretation of results.