If a researcher reduces the likelihood of making a Type I error by using a .01 rejection level rather than the traditional .05 level, she:
A) also reduces the likelihood of commiting a Type II error.
B) increases the statistical power of the data analysis.
C) increases the likelihood of commiting a Type II error.
D) eliminates the possibility that sampling error might produce a relationship between variables within a research sample.

Question

Quizplus · Accepted Answer

By reducing the likelihood of making a Type I error (rejecting a true null hypothesis), the researcher makes it harder to find statistically significant results unless there's a very strong evidence against the null hypothesis. This conservatism increases the chance of a Type II error (failing to reject a false null hypothesis), because it's more likely that true effects will be missed.

If a Researcher Reduces the Likelihood of Making a Type