Discussion: Statistical Significance and Meaningfulness
Discussion: Statistical Significance and Meaningfulness ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Discussion: Statistical Significance and Meaningfulness 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. Discussion: Statistical Significance and Meaningfulness BY DAY 3 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? week_5_discussion__resources.docx 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-Tabulation Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications. 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. Chapter 3, Statistical Significance Testing (pp. 81124) 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. Magnusson, K. (n.d.). Welcome to Kristoffer Magnussons blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html As you review this web blog, select [Updated] Statistical Power and Significance Testing Visualization link, once you select the link, follow the instructions to view the interactive for statistical power. This interactive website will help you to visualize and understand statistical power and significance testing. Note: This is Kristoffer Magnussons personal blog and his views may not necessarily reflect the views of Walden University faculty. American Statistical Association (2016). American Statistical Association Releases Statement on Statistical Significance and P-Values. Retrieved from http://www.amstat.org/newsroom/pressreleases/P-ValueStatement.pdf As you review this press release, consider the misconceptions and the misuse of p-values in quantitative research. 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. Discussion: Statistical Significance and Meaningfulness 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. For this Discussion, you will explore statistical significance and meaningfulness. o To prepare for this Discussion: Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance. Review Magnussons web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing. Review the American Statistical Associations 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. By Day 3 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? Discussion: Statistical Significance and Meaningfulness Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10
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