One of the more common errors with respect to correlational findings is making the assumption that a correlation between two variables:
A) does not tell the researcher anything useful.
B) means that since one variable predicts a second variable, the first must be causing the second variable.
C) , whether positive or negative, must be a perfect correlation to be useful to researchers.
D) does not permit a researcher to make predictions about one variable based on information from another variable.

Question

Quizplus · Accepted Answer

The common error with respect to correlational findings is to assume that a correlation between two variables means that one variable causes the other. However, correlation does not imply causation and there may be other variables that explain the relationship between the two variables. Therefore, choice B is the most appropriate answer as it reflects this common error in understanding correlational findings.

One of the More Common Errors with Respect to Correlational