Effect Size and Confidence Interval Calculator

Measure of the Effect ('MOTE') is an effect size calculator, including a wide variety of effect sizes in the mean differences family (all versions of d) and the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides non-central confidence intervals for each effect size, relevant test statistics, and output for reporting in APA Style (American Psychological Association, 2010, ) with 'LaTeX'. In research, an over-reliance on p-values may conceal the fact that a study is under-powered (Halsey, Curran-Everett, Vowler, & Drummond, 2015 ). A test may be statistically significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012 ). Although the American Psychological Association has long advocated for the inclusion of effect sizes (Wilkinson & American Psychological Association Task Force on Statistical Inference, 1999 ), the vast majority of peer-reviewed, published academic studies stop short of reporting effect sizes and confidence intervals (Cumming, 2013, ). 'MOTE' simplifies the use and interpretation of effect sizes and confidence intervals.

MOTE

We gladly take comments and updates! You can check out videos on my YouTube channel, as well as watching or starring the github repo.

You can look at our how-to guide by going to: https://www.aggieerin.com/shiny-server/. This information is also present in the help files for each function, however, pictures are included on the website.

You can now install MOTE directly from CRAN: install.packages("MOTE").

To install the development version of the package take the following steps:

1. Install devtools if you do not have it. devtools is a package that allows you to install packages from github. install.packages("devtools")

2. Install the MOTE package by running the following: devtools::install_github("doomlab/MOTE")

3. Load the library to get started! library(MOTE)

4. Enjoy MOTE.

You can also use the Shiny App!