Handling a Nonsignificant Outcome All of the following are possible explanations for experiment results that do not support the researcher's predictions except
A)committing a Type 2 error.
B)inadequate manipulation of the independent variable.
C)masking of the treatment effects by extraneous variables.
D)using dependent variables with a low floor and high ceiling.

Question

Quizplus · Accepted Answer

The other three options (committing a Type 2 error, inadequate manipulation of the independent variable, and masking of the treatment effects by extraneous variables) are all possible explanations for nonsignificant results, whereas using dependent variables with a low floor and high ceiling is not. Dependent variables with a low floor and high ceiling can still show significant results, but they may not be as sensitive to changes in the independent variable, making it harder to detect significant effects.

Handling a Nonsignificant Outcome All of the Following Are Possible