Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

A paired-samples t test is reported as t (15) = 0.918, p > 0.05, d = 0.25. Inter

ID: 3150089 • Letter: A

Question

A paired-samples t test is reported as t(15) = 0.918, p > 0.05, d = 0.25. Interpret the effect size for this statistical test.

a. There is no effect size reported.

b. This is a small effect, indicating this difference may not have much practical importance.

c. This is a medium effect, and the researcher should test a larger sample to increase effect size.

d. This is a large effect, indicating it is statistically significant.

a. There is no effect size reported.

b. This is a small effect, indicating this difference may not have much practical importance.

c. This is a medium effect, and the researcher should test a larger sample to increase effect size.

d. This is a large effect, indicating it is statistically significant.

Explanation / Answer

Effect size is a simple way of quantifying the difference between two groups that has many advantages over the use of tests of statistical significance alone. Effect size tells the size of the difference rather than confounding this with the number of samples.

Now, the effect size is 0.25 which is less than 0.30 but more than 0.10.

Thus, c. This is a medium effect, and the researcher should test a larger sample to increase effect size.

Hire Me For All Your Tutoring Needs
Integrity-first tutoring: clear explanations, guidance, and feedback.
Drop an Email at
drjack9650@gmail.com
Chat Now And Get Quote