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- QUESTION
It is about a question from a statistics project that requires 200 words and 2-3 references.
I need to answer the following question.
Provide a brief discussion of the importance of statistical power and
effect sizes and support your answer with references. (200 words, 2-3 references)
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| Subject |
Nursing |
Pages |
2 |
Style |
APA |
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Answer
Statistical Power and Effect Sizes
Statistical power refers to the probability of rightful or correct rejection of the null hypothesis. In essence, power refers to likelihood of detection of a present effect in a study. Effect size, on the other hand, refers to the number of standard deviations between the null and alternate means, or the magnitude or degree of difference between groups. These two factors augment statistical significance, and have a linear association.
Statistical power provides the ‘muscle’ or ability for making sure that the difference between groups is detected, especially in efficacy studies (Cortes, et al., 2016). If there is truly a difference between groups in practice, it is important to make sure that the study detects the difference, hence the importance of statistical power.
Though p-value simply indicates existence of an effect, effect size or substantive significance is essential in reporting to reinforce the statistical significance. Effect size weighs emphasis on the size of the effect. It also offers a more scientific way of quantifying effectiveness when comparing two groups, hence is of far-reaching value as it exceeds the simplistic approach that only indicates statistical significance, as argued by Sullivan and Feinn (2012).
In fact, it is important to have estimates of both statistical power and effect sizes prior to the research, in order to determine the sample size required to ensure the study offers acceptable power to support the decision on hypothesis.
References
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Cortes, J., Casals, M., Langohr, K., & González, J. A. (2016). Importance of statistical power and hypothesis in P value. Medicina clinica, 146(4), 178.
Sullivan, G. M., & Feinn, R. (2012). Using effect size—or why the P value is not enough. Journal of graduate medical education, 4(3), 279-282.
Appendix
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Appendix A:
Communication Plan for an Inpatient Unit to Evaluate the Impact of Transformational Leadership Style Compared to Other Leader Styles such as Bureaucratic and Laissez-Faire Leadership in Nurse Engagement, Retention, and Team Member Satisfaction Over the Course of One Year
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