EASE is a set of simple Excel spreadsheets that provide real-time calculations of estimation statistics. These spreadsheets calculate, test, and plot confidence intervals for means, mean comparisons, and standardized effect sizes. Spreadsheets and examples are available for different single-factor designs (between-subjects vs. within-subjects) and can take either raw data or summary statistics as input.
The EASE(D)-OneWay module is appropriate for a one-way (single factor) between-subjects design with raw data input.
- EASE(D)-OneWay.xlsx - A blank version of the module
- EASE(D)-OneWay-Rattan.xlsx - Analyses raw data from Rattan (2012)
The EASE(S)-OneWay module is appropriate for a one-way (single factor) between-subjects design with summary statistics input.
- EASE(S)-OneWay.xlsx - A blank version of the module
- EASE(S)-OneWay-Rattan.xlsx - Analyses summary statistics from Rattan (2012)
The EASE(D)-Repeated module is appropriate for a one-way (single factor) within-subjects design with raw data input.
- EASE(D)-Repeated.xlsx - A blank version of the module
- EASE(D)-Repeated-Donohue.xlsx - Analyses raw data from Donohue (2002)
The EASE(S)-Repeated module is appropriate for a one-way (single factor) within-subjects design with summary statistics input.
- EASE(S)-Repeated.xlsx - A blank version of the module
- EASE(S)-Repeated-Donohue.xlsx - Analyses summary statistics from Donohue (2002)
Wendorf, C. A. (2021). EASE: Estimation Approach to Statistics with Excel [Excel Spreadsheets]. https://github.com/cwendorf/BASE/tree/main/EASE