Description
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.”
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?
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Explanation & Answer
Hi,Please find attached response to discussion post.Thank you.
Running Head: STATISTICAL SIGNIFICANCE
Statistical Significance
Name:
Course
March 30, 2017
1
STATISTICAL SIGNIFICANCE
2
Statistical Significance
There are various ways to claim the statistical significance of the test claim. One way
is based on p-value approach, where the calculated p-value is compared with the given
significance level. If the p-value for the particular statistical test is less than the significance
level, then the null hypothesis is rejected. (Harlow et al., 1997) The p-value is defined as the
probability of getting the result when one assumes that the null hypothesis is correct.
(Jakobsen et al., n.p).In almost every field, p-value approach is found to be most suitable in
the search for a significant relationship between predictor and response variables. However,
according to Ron Wasserstein(2016), the p-value was not meant as a substitute for scientific
reasoning.
Limitations of P-value Approach
An important limitation of the p-value approach is that it only tells the probability of
getting the test result as true assuming null hypothesis is true. However, it is silent about the
likelihood of getting the result as true when the altern...