A researcher wants to determine the effectiveness of an assertiveness training course. She tests a sample of 200 participants before and after the workshop on a scale that measures assertiveness, and finds sample mean scores of M= 4.5 before and M= 5.7 after the training. The paired samples t-test revealed that this difference is statistically significant. The scores are, however, fairly close, and she is concerned that the result may be due to the relatively large sample size. What can she do to check whether the result is also fairly important in practical terms? She should-- - - - -.

Question

A researcher wants to determine the effectiveness of an assertiveness training course. She tests a sample of 200 participants before and after the workshop on a scale that measures assertiveness, and finds sample mean scores of M= 4.5 before and M= 5.7 after the training. The paired samples t-test revealed that this difference is statistically significant. The scores are, however, fairly close, and she is concerned that the result may be due to the relatively large sample size. What can she do to check whether the result is also fairly important in practical terms?  She should-- - - - -.

Answer

Determine the level of significance of the result

Answer

Calculate the power of the test

Answer

Increase the sample size to improve statistical power

Answer

Calculate the effect size

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