Clinical vs. Statistical Significance







Clinical vs. Statistical Significance











The significance is a synonym of the word important; it is the characteristic of quality and something being associated with high performance and reliability. In the field of medicine, the experts strive to establish a difference between statistical and clinical significance (Kazdin, 2003).

In the practices of medicine, they select some samples through which they carry out their studies. Their main goal is to apply the findings in a real life situation, for example, in selecting a sample of people to study a certain phenomenon with the intention of putting into application the final findings. The key concern in this case is the probability of the used sample providing misleading results. The cause being either the use of a small sample, biased sample or presence of people/ sample elements giving wacky results. In such events, statistical significance does consider only two factor excluding biases of the sample group (Kazdin, 2003).  Statistical significance in the test of any hypothesis can be expressed in terms of probability; commonly letter p is used. For example, a probability of 10% or 0.01 shows that by chance there can be a difference from the study results when it comes to real life situation. The percentage expresses the compatibility of the results found from the study. Statistical significance expresses the possibility of finding out that will not appear in future replications (Kazdin, 2003).

Clinical significance refers to the practical application of the intervention made during the study. It proofs to be important by making a significant difference in the life of patients or those associated with the patients in various ways. Usually, the validity of clinical significance is tested through thorough evaluation and analysis of the intervention effects. The evaluations factors include treatment, educating those involved, and offering prevention therapies. The critical factors of clinical significance are influencing the treatment for patients and bringing change in the field of medicine (Kazdin, 2003).

Demonstration of clinical significance is the work practice is very important. However, there are specific ways through which demonstration will be effective and beneficial. 1. The level of change is the most crucial demonstration that one can use. 2. The effect size is also a key demonstration of the clinical significance (Kazdin, 2003). A magnificent effect size demonstrates a big difference between the findings of the research and the actual situation. Clinical significance can also be demonstrated by giving proper attention to the clients, attending to their problems and maintaining a close relationship with them (Kazdin, 2003).

After carrying out the analysis of the study sample results, it can thus offer some contribution towards the development of new therapies. The data collected can as well be utilized in the development of importance dimensions necessary in the clinic significance operations. To demonstrate clinical observation, one ought to have the necessary skills of interpreting statistical significance. Preparing end results with little or fewer errors this guarantees accuracy in the clinical significance (Kazdin, 2003). The demonstration is not complete without it directing benefiting the consumers of treatment or patients.

The health care knowledge is rapidly developing and experiencing a lot of advancement. Therefore, the nurses and doctors need to stay ahead of the changes by continuing their education. Such programs will enable the serving nurses to acquire skills in other fields apart from providing health care to patients. Statistical and clinical significance remains to be a key area that all the nurses should uphold to help them efficiently relate with their colleagues, juniors, and patients (Kazdin, 2003).


Kazdin, A. (2003). 30: Clinical Significance: measuring whether Interventions Make a Difference


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