Why are effect sizes rather than test statistics used when comparing study results?
A) Effect sizes, unlike test statistics, are not affected by sample size and thus ensure a fair comparison.
B) It is easier to average effect size than it is to average test statistics.
C) Effect sizes are based on standard error, while test statistics are based on standard deviation.
D) Effect sizes, unlike test statistics, account for sample size, thus ensuring an accurate comparison.

Question

Quizplus · Accepted Answer

Effect sizes provide a standardized measure of the magnitude of the observed effect, independent of sample size, making comparisons across studies with different sample sizes more meaningful. Test statistics, on the other hand, can be influenced by the size of the sample, with larger samples often leading to smaller p-values even for small effect sizes, which can mislead the interpretation of the significance of the results.

Why Are Effect Sizes Rather Than Test Statistics Used When