If a researcher is planning to perform a parametric test on scale data but finds it is not normally distributed, what should be done?
A) Continue with the parametric test, ignoring the violation of assumptions.
B) Transform the scale data to ordinal rankings and perform a nonparametric test.
C) Throw out the data points that skew the distribution and perform a parametric test.
D) Use the scale data as presented and perform a nonparametric test.

Question

Quizplus · Accepted Answer

If the data is not normally distributed, it violates the assumption of a parametric test. Therefore, transforming the data to ordinal rankings and performing a nonparametric test would be the best course of action. This allows for unbiased analysis without violating assumptions.

If a Researcher Is Planning to Perform a Parametric Test