What is wrong with the following statement: “In our study, people with bipolar disorder who underwent therapy in addition to taking medication were significantly less likely (p < 0.05) to require hospitalization as compared to those taking medication alone. We found no significant differences in the effect of adding therapy for men and women suffering from bipolar disorder. Thus, we conclude that men and women benefit equally from adding therapy to treatment with medication"

Question

What is wrong with the following statement: “In our study, people with bipolar disorder who underwent therapy in addition to taking medication were significantly less likely (p < 0.05) to require hospitalization as compared to those taking medication alone. We found no significant differences in the effect of adding therapy for men and women suffering from bipolar disorder. Thus, we conclude that men and women benefit equally from adding therapy to treatment with medication"

A.Finding no significant differences between men and women does not justify concluding that the effects on men and women are the same.

B.It is incorrect to conclude that adding therapy to treatment is effective unless you also have a condition testing the effects of therapy only.

C.Hospitalization is not a valid measure for assessing the effectiveness of psychiatric treatment.

D.Reporting a statistically significant difference does not tell us enough about the sample differences to draw a conclusion.

Answer 1

Therapy might be the whole deal. Perhaps the medication had no effect at all. We do not know based on these results.

(Not statistics but logic)

Answer 2

The correct answer is A. Finding no significant differences between men and women does not justify concluding that the effects on men and women are the same.

To explain why this statement is incorrect, we can look at the concept of statistical significance. In this study, the researchers found that there were no significant differences in the effect of adding therapy for men and women with bipolar disorder. However, failing to find a significant difference does not necessarily mean that there is no difference between the groups. It only means that the sample size may not have been large enough to detect a significant effect.

Therefore, the conclusion that men and women benefit equally from adding therapy to treatment with medication is not supported by the lack of statistical difference alone. To accurately determine if there is a difference, further research with larger sample sizes and statistical analysis specifically targeting gender differences would be necessary.

It is important to note that while the other answer choices raise valid concerns, they are not directly related to the issue mentioned in the question.