The presence of error variance:
A) makes it difficult to determine if your independent variable was effective.
B) makes it easy to determine if your independent variable was effective.
C) increases the internal validity of an experiment.
D) increases the external validity of an experiment.

Question

Quizplus · Accepted Answer

Error variance refers to the variability in the data that cannot be attributed to the independent variable, making it difficult to determine the effectiveness of the independent variable.

The Presence of Error Variance