Why is it important to make sure that different participant groups are roughly equivalent in terms of personal characteristics (e. g., age, gender) before any independent variable is introduced?

Question

Alissa Grant

History

18 July, 07:30

Why is it important to make sure that different participant groups are roughly equivalent in terms of personal characteristics (e. g., age, gender) before any independent variable is introduced?

+5

Answers (1)

Know the Answer?

Heidi Flynn · Answer 1

Answer:To Prevent Bias which may arise from a major difference from personal characteristics.

Explanation: Sampling is a part of a population that is to be used for a research or experiment.

Variables are factors or members of a sample or Population that are can be altered (Dependent variables) in order to create an effect on another variables.

Independent variables are variables that are consistent and are not affected by other variables.

To Prevent BIAS, proper Sampling or inducing independent variables it must include all the factors necessary in an experiment or research.