Statistical Significance
Understanding statistical significance requires an understanding of the interplay between 3 items:
- Decision Errors1
- Effect Size1
- Statistical Power1
Decision Errors
Decision errors refer to when the right procedures lead to wrong decisions/conclusions1. Decision errors in hypothesis testing include Type I Error (α) and Type II Error (β)1.
Type I Error
- Occurs when the null hypothesis is true and you mistakenly reject it1.
- α is the chance of making a Type I Error
- p-value: 0.20 = 20% α
- p-value: 0.05 = 5% α
Type II Error
Effect Size
- See Effect Size for more information
Example
Interactive Example
References
1.
Aron A, Coups EJ, Aron E. Statistics for Psychology. 6th ed. Pearson; 2013.
Citation
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