The difference between statistically significant results and clinical significance is very interesting. For this discussion, respond to each of the following topics.

Distinguish between statistical and clinical significance of results.

Would it be possible to have research study results that supported the acceptance of the null hypothesis and demonstrate clinical significance? Provide a hypothetical example that supports your answer.

If you question the credibility of the results from a qualitative study, would the information have clinical significance for your practice area? Why or why not? Provide a hypothetical example that supports your answer.

Solution:

Both statistical and clinical significance are regarded as fundamental aspects when it comes to evaluating the validity of a given study. This is attributed to the fact that a study that claims clinical relevance may have insufficient statistical significance to make a meaningful statement. According to Benjamin et al. (2018), statistical significance typically measures how likely that any apparent differences in outcome between treatment and control groups are real and not due to chance. On the other hand, when it comes to clinical significance measures, it measures how large the differences in treatment effects are in the context of clinical practices. While statistical significance usually allows one to make inferences regarding the study results, it is not enough to make rational recommendations. Taking this….Please click the Paypal icon below to purchase full solution for only $5