Exam 7: Making Sense of Statistical Significance: Effect Size and Statistical Power

According to Cohen, a good general rule for when it is worthwhile to conduct a study is when power is at least __________.

In order to calculate the standardized effect size, one should divide the raw score effect size for each study by its:

(Population 1M - Population 2M)/Population SD is a formula for figuring:

Cohen's effect-size conventions for a small, medium, and large effect are __________ , __________ , and __________ , respectively.

Even if the research hypothesis is true, an experiment may not produce significant results because:

In studies using a very large number of participants, it is common to get statistically significant results that have very small __________.

More extreme significance levels (.001, .0001)mean greater statistical power. (True or False)

The __________ is a statistic that combines two of the main influences on power, the expected difference between populations and the population standard deviation.

Changing the procedures of a study so that it decreases the __________ of the population increases the effect size.

In what way is effect size most comparable to a Z score?

In theory, one could increase the power of planned study by:

According to Cohen, for an experiment to be worth conducting, it should have a level of power of about:

When judging a study's results, there are two important questions. They are: