[PI] Pass 2008 v8.0.2

** Pass 2008

[Power Analysis]

- A statistical test's power is the probability that the test procedure will result in statistical significance. Power is related to the sample size, the size of the type 1 (alpha) error, the actual size of the effect, and the size of experimental error. All of these must be considered in order to calculate statistical power.

- As statistical significance is usually the desired outcome, planning and running a study to achieve a high power is of prime importance to the researcher. Because of the complexity of the calculations, the determination of the power is often ignored or only a casual attempt is made at its calculation by adopting some, so-called, "rule-of-thumb."


[PASS Beats the Competition!]

- PASS performs power analysis and calculates sample sizes. Use it before you begin a study to calculate an appropriate sample size (it meets the requirements of government agencies that demand technical justification of the sample size you have used). Use it after a study to determine if your sample size was large enough.

- PASS lets you solve for power, sample size, effect size, and alpha level. It automatically displays charts and graphs along with numeric tables and text summaries in a portable format that is cut and paste compatible with all word processors so you can easily include the results in your proposal.