Good experimental design requires eliminating possible _____ variables that could result in alternative explanations.
A)dependent
B)independent
C)confounding
D)valid

Question

Quizplus · Accepted Answer

Confounding variables are extraneous factors that can influence the relationship between the independent and dependent variables, making it difficult to determine whether the observed effects are due to the independent variable or some other factor. Therefore, it is important to eliminate or control for confounding variables in experimental design. Dependent and independent variables are not relevant to eliminating alternative explanations, and "valid" is not a type of variable.

Good Experimental Design Requires Eliminating Possible _____ Variables That Could