STATISTICA Power Analysis
Introduction
STATISTICA Power Analysis is an extremely precise and user-friendly research tool for analysing all aspects of statistical power and sample size calculation.
Using STATISTICA Power Analysis in planning and analysing your research, you can always be confident that you are using your resources most efficiently. Nothing is more disappointing than realising that your research findings lack precision because your sample size was too small. On the other hand, using a sample size that is too large could be a significant waste of time and resources. STATISTICA Power Analysis will help you find the ideal sample size and enrich your research with a variety of tools for estimating confidence intervals and conducting comprehensive power analysis.
Sample Size Calculation
STATISTICA Power Analysis calculates sample size as a function of Type I error rate and effect size in all the tests listed below. STATISTICA Power Analysis calculates power as a function of sample size, effect size, and Type I error rate for the:
- 1-sample t-test
- 2-sample independent sample t-test
- 2-sample dependent sample t-test
- Planned contrasts
- 1-way ANOVA (fixed and random effects)
- 2-way ANOVA
- Chi-square test on a single variance
- F-test on 2 variances
- Z-test (or chi-square test) on a single proportion
- Z-test on 2 independent proportions
- Mcnemar's test on 2 dependent proportions
- F-test of significance in multiple regression
- t-test for significance of a single correlation
- Z-test for comparing 2 independent correlations
- Log-rank test in survival analysis
- Test of equal exponential survival, with accrual period
- Test of equal exponential survival, with accrual period and dropouts
- Chi-square test of significance in structural equation modeling
- Tests of "close fit" in structural equation modeling confirmatory factor analysis