10 Questions
What is the purpose of a post hoc power analysis?
To estimate power after analyzing the data
When conducting a sensitivity analysis, what is the goal?
To identify the minimum detectable effect size
In Setting Power Exp. 1, what was the effect size that could be detected with a power of 0.80?
dz = 0.317
What role does alpha play in determining statistical power?
It sets the level of significance for hypothesis testing
Why is post hoc power analysis conducted after data analysis?
To determine if the sample size was adequate
What does the observed effect size of dz = 0.430 represent in Setting Power Exp. 2?
The actual effect size found in Experiment 2
How does changing (1 - beta) impact sensitivity in sensitivity analysis?
(1 - beta) influences detectable effect sizes in sensitivity analysis
What is the primary purpose of an a priori power analysis?
To establish sample size required before data collection based on expected effect size
Why is understanding statistical power important in research studies?
It helps researchers assess the likelihood of detecting true effects when they exist
What does setting power at 0.80 indicate about a study in terms of sensitivity?
The study will have higher sensitivity to detect small effects
Test your knowledge on the Null Hypothesis Statistical Testing (NHST) framework, factors affecting rejection of null hypothesis, error management decisions, and visualizing statistical power. Learn about z-scores for different significance levels. Ideal for students and researchers in statistics and research methods.
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