Independent samples t-test
Aim
| Calculate |
The aim of the analysis: N for required N,
Power for estimated power and Effect Size for
minimal detectable effect size
|
Input
Effect information
| Expected Cohen’s d (δ) | Expected Cohe’s d |
| N of group 1 | Sample size per group |
| Relatve size of groups |
Relative size of the two groups. 1 means group of equal size,
ratio>1 means that one group is ratio times
larger than the other.
|
Parameters
| Minimal desired power | Minimal desired power (1-Beta) |
| Alpha (Type I rate) | Critical alpha (significance level to be used in the analysis) |
| Tails |
Wheather the test is two-tailed (two.sided) or one-tailed
(greater).
|
Equivalence Testing
| Perform equivalence testing | Perform an equivalence test to show that a true effect is small enough to be considered practically negligible |
| Equivalence limit |
Options
| Explanatory text | Produces some text to help interpreting the results |
Sensitivity Analysis
Sensitivity analysis, exploring different plots of possible combinations of parameters, can be carried out like for any other PAMLj sub-modules. Please visit Sensitivity analysis page for more details.
Effect Size Conversion
With this panel is possible to estimate the expected effect size based on observed t-test, taken from empirical studies or other empirical sources
Convert from t-test
| Observed t-test | The observed t-test value resulting an empirical study |
| N per group | The observed t-test sample size per group |
| Cohen’s d | The resulting Cohen’s d corresponding to the observed t-test and N per group |
0.7.0
Comments?
Got comments, issues or spotted a bug? Please open an issue on PAMLj at github or send me an email