If knowing the level of an independent variable received by a participant allows perfect prediction of that participant 's score in an experiment, then will be. $\eta ^ { 2 }$
A)100
B)100 percent
C)1.0
D)either -1.0 or +1.0

Question

Quizplus · Accepted Answer

If knowing the level of an independent variable allows perfect prediction of a participant's score, it means that all of the variation in the dependent variable is accounted for by the independent variable. In other words, there is no error variance left to explain. Therefore, the proportion of variance explained by the independent variable (which is equivalent to the proportion of variance not due to error) is 1.0 or 100%. This is represented by the symbol eta-squared ($\eta ^ { 2 }$), and in this case, it would be equal to 1.0.

If Knowing the Level of an Independent Variable Received by a Participant