Step 1: Explain what significance means in quantitative research. Explain the role that the p-value plays in interpreting significance in quantitative research (make sure to include information about what p-value is considered significant and which are non-significant and what role hypothesis testing (null hypothesis) has in determining the p-value significance). Make sure to support this discussion with specific examples to support your answer.
Step 2: What are confidence intervals? What role do these have in interpreting significance in quantitative research? How are confidence intervals (CI) different from p-values? Why would a researcher use one over the other or perhaps both?
Step 3: What is the difference between statistical and clinical significance? Why is this important when interpreting quantitative research findings?
Discussion Protocol. Please observe the following 3 x 3 rule: when writing your weekly discussions (applies to the original discussion posting): – A minimum of three paragraphs per DQ. Each paragraph should have a minimum of three sentences. All sections of the question need to be addressed. Remember that peer responses need to be substantive and extend the original discussion posting by making connections, relating to others ideas and adding supporting detail.
All answers or discussions comments submitted must be in APA format according to Publication Manual American Psychological Association (APA) (7th ed.) 2019.
Discussions must have a minimum of two references, not older than 2015.