Type I error
Rejecting a null hypothesis when that null model is true under the stated testing procedure.
How to interpret it
The alpha level controls the long-run Type I error rate for the defined test, subject to the analysis plan.
Related practical guides
- Eta Squared vs Partial Eta Squared: Which Effect Size Should You Report?
- Confidence Intervals for Proportions: Wald, Wilson, and Exact Methods
- Which Statistical Test Should I Use? A Practical Decision Guide