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Once you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap of chasing statistical significance. That is, you may be tempted always to look for relationships that are statistically significant and believe they are valuable solely because of their significance. Although statistical hypothesis testing does help you evaluate claims, it is important to understand the limitations of statistical significance and to interpret the results within the context of the research and its pragmatic, “real world†application.
As a scholar-practitioner, it is important for you to understand that just because a hypothesis test indicates a relationship exists between an intervention and an outcome, there is a difference between groups, or there is a correlation between two constructs, it does not always provide a default measure for its importance. Although relationships are significant, they can be very minute relationships, very small differences, or very weak correlations. In the end, we need to ask whether the relationships or differences observed are large enough that we should make some practical change in policy or practice.
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Order Paper NowFor this Discussion, you will explore statistical significance and meaningfulness.
To prepare for this Discussion:
- Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.
- Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.
- Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.
- Consider the scenario:
- A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.â€
post
Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote?
Resources
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
- Chapter 8, “Testing Hypothesis†(pp. 203-204)
Wagner, W. E. (2016).
Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
- Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulationâ€
- Chapter 3, “Statistical Significance Testing†(pp. 81–124)
Applied Statistics From Bivariate Through Multivariate Techniques, 2nd Edition by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.
As you review this press release, consider the misconceptions and the misuse
We have been offering dedicated medical and nursing writing services to nursing students for several years. Our nursing papers are meticulously crafted to meet the highest academic standards and adhere to the prescribed referencing formats, including APA, MLA, and Chicago style. Our team comprises seasoned nursing writers who possess extensive knowledge and expertise across a wide range of nursing topics. Whether it’s assignments, research papers, case studies, literature reviews, or any other task, our writers are well-equipped to handle them proficiently.