Reference no: EM133695598

Please help me respond to my fellow student's post below.

The clinical significance of a study refers to the magnitude of the treatment effect, which decides whether the trial findings will have a meaningful impact on current medical practice (Sharma, 2021). Its objective is to ascertain the amount and scope of an impact. It is a crucial instrument for decision-makers involved in high-stakes pharmaceutical, psychological, and medical research. Statistical significance measures evaluate the probability that the results of a study are due to random chance. The objective is to validate the presence of a phenomenon. It serves as a valuable instrument for decision-makers when evaluating the results of a particular study.

Comprehending and analyzing research is crucial for the application of evidence-based practice. Therefore, it is crucial to understand the difference between statistical significance and clinical significance. A finding is considered statistically significant when it demonstrates a relationship or difference between variables that cannot be attributed solely to chance or natural variation. Statistical significance, in the context of evidence-based practice, quantifies the extent to which a research finding is genuine and not merely a result of random chance.

Sharma, H. (2021). Statistical significance or clinical significance? A researcher's dilemma for appropriate interpretation of research results. Saudi Journal of Anaesthesia, 15(4), 431.