08. Statistical Significance, Confidence Intervals, Effect Size, & Power
Kimberly A. Barchard (LinkedIn), Matthew R. Helm, John D. Watt , Kaelyn Griffin, from the University of Nevada, Las Vegas have created a series of Jamovi assignments. These 10 assignments include step-by-step instructions to take students from the basics of opening data files to the complexities of creating a professional conference poster (complete with literature review, method, results, graph, and
Knowing what p values tell us can be tricky to teach. Here are several videos that help explain exactly what p-values are (and aren’t) able to tell us. Each video essentially covers the same content so which one you use can be a matter of personal preference.
Video: Statistical Significance What Are p Values? How Do We Interpret Them? How Do We Calculate Them?
A video (11:21) (which includes an “awesome song” in the beginning) that explains p values and their interpretation from StatQuest with Josh Starmer. Bam. Students should watch this before the video (below) on calculating p values. If you’re interested in how to calculate p values, this video (25:14) gives a thorough explanation. You can find
A short (8:19) video (which includes an “awesome song” in the beginning) that explains statistical power from StatQuest with Josh Starmer. Bam. If you’re interested in the follow-up video on power analysis, you can find that here. You can find the StatQuest website here.
Lecture Slides: Power and the Elephant (Understanding the Relation Between Sample Size, Effect Size, and Significance Level)
This activity (created by Dr. Lisa Dinella) has students participate in a lively game show that serves as a metaphor for the relation between sample size, effect size, and significance level when determining power The goal of this is to provide students with an example that demonstrates the interrelation of effect size, significance level, and