One reason why effect sizes are generally omitted is because it makes the statistics harder to understand and does not provide any additional information that significance testing doesn't already tell us.

Question

Quizplus · Accepted Answer

Effect sizes provide additional information beyond significance testing such as the practical significance or magnitude of an effect, and can aid in comparing results across studies. While understanding effect sizes may require additional statistical knowledge, they are a valuable component of statistical analysis. Therefore, the statement in the question is false.

One Reason Why Effect Sizes Are Generally Omitted Is Because