MOTE: The Shiny App to Calculate Effect Sizes and Their Confidence Intervals
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Description: Recent developments in the psychological sciences have shown the de-emphasis of p-values with a renewed focus on effect sizes as a measure of the importance of research findings (Cumming, 2014). Even with the shift in focus, report rates for effect sizes are very low (Fidler et al., 2005; Fritz, Scherndl, & Kühberger, 2013). Given what we’ve been told about reporting effect sizes, why are researchers omitting these values in their journal articles? Several effect size calculators currently exist, including Soper’s webpage (2013) as well as macros available for SPSS/SAS (Smithson, 2003; Wilson, 2010). However, the flexibility of these calculators, as well as the extent to which they explain the calculations, varies greatly. One way to encourage a change in report rates of effect sizes is to train the next generation of researchers to include these values as part of or in lieu of the traditional hypothesis test. However, as statistics teachers know, it can be difficult to get students to understand which test to select, much less which effect size then corresponds to that statistical test. In this presentation, we will demonstrate a new application that could be used as a teaching tool in statistics and research method courses. This application is designed to allow the user to select the research design and corresponding effect size through drop down menus. For each effect, users type in relevant numbers to calculate those effects, and the effect size and related statistics are presented in APA style. For teaching purposes, helpful description text and YouTube how-to videos are coupled with each effect size page. A previous version of this application was implemented in statistics classrooms wherein students indicated that the application was easy to use and helpful for their homework. Faculty feedback from presentations of the new application during beta testing have been overwhelmingly positive. We believe this application will aid in teaching and learning in statistics and research methods courses for students at the undergraduate and graduate level.