Input values and press 'Perform test'

Mean, sd, n group 1

Mu (value tested against)

Mean, sd, n group 2

Mean and sd group 2, and correlation between the two means

Lower and upper equivalence bound, alpha level

The equivalence bound can be specified as raw scores (raw), or in standardized mean differences (SMD, Cohen's d). Default is 'raw', which is recommended as SMD bounds will produce biased results.
Click the button below to perform the equivalence test.

Results

Input values and press 'Perform Power Analysis'

Power, SD, Delta

Enter the desired statistical power (e.g., 0.95), the standard deviation of the measure (related to the equivalence bounds, for paired samples the sd of the differences, when specifying equivalence bounds in Cohen's d, leave the sd at 1), and the value for delta, which is the expected effect (typically 0, but can be set to a non-zero value)

Lower and upper equivalence bound, alpha level

Click the button below to perform the power analysis.

Results


                  

Shiny App for TOSTER equivalence test

This Shiny app allows researchers to perform equivalence tests and power analysis for equivalence tests for one sample, two sample, and paired t-tests based on summary statistics.

This Shiny app was built by Daniel Lakens and is based on the TOSTER package, developed by Daniel Lakens and Aaron Caldwell: TOSTER

For a tutorial paper on equivalence testing, see: Lakens, D., Scheel, A. M., & Isager, P. M. (2018). Equivalence testing for psychological research: A tutorial. Advances in Methods and Practices in Psychological Science, 1(2), 259–269. https://doi.org/10.1177/2515245918770963, available HERE