Handling a Nonsignificant Outcome If you have designed a sound procedure for studying a hypothesis, have carefully executed the experiment, and still obtain statistically nonsignificant results, you should
A)attempt to replicate the nonsignificant findings with a different sample.
B)consider the possibility that the research hypothesis was faulty and rethink the problem.
C)reanalyze your data with a nonparametric statistical procedure in place of a parametric procedure.
D)redesign the study and test the hypothesis again.

Question

Quizplus · Accepted Answer

If the results are statistically nonsignificant, it is important to consider the possibility that the research hypothesis was faulty and rethink the problem. It is possible that the hypothesis was not supported by the data and needs to be revised or abandoned. Replicating the study with a different sample or changing the statistical procedure may not address the root cause of the nonsignificant results. Redesigning the study and testing the hypothesis again can be a potential option, but it may not be necessary if the problem lies in the hypothesis itself.

Handling a Nonsignificant Outcome If You Have Designed a Sound