Statistical power analysis is a question that comes up for doctoral students. The ability to statistically reject the null is called power – power to reject the null. There are certain conditions where it is easier to reject the null hypothesis.
1. If you use parametric statistics. Parametric statistics are the elite statistics.
2. If you use a directional hypothesis. One-tailed statistical tests (used with directional null hypotheses) are more powerful than two-tailed statistical tests (used with non-directional hypotheses).
3. If you use large sample sizes. These are statistically more powerful than small sample sizes.
4. If you use a more liberal probability level. If you choose .05 instead of .01, your chances to reject the null are statistically greater.
5. If you use superior measurement tools that are documented to have high reliability and validity, attributes of good instruments.
Return from power analysis to dissertation research questions and hypotheses.