Effect Size and Confidence Interval Calculator
APA Format
d for Dependent t with Average SD Denominator
d for Dependent t with SD Difference Scores Denominator
d from t for Repeated Measures with SD Difference Scores Denominator
d for Repeated Measures with Average SD Denominator
d for Between Subjects with Pooled SD Denominator
d from t for Between Subjects
d for Independent Proportions
d for Single t from Means
d for Single t from t
r and Coefficient of Determination (R2) from d
d for Z-test from Population Mean and SD
d from z-statistic for Z-test
d-delta for Between Subjects with Control Group SD Denominator
Epsilon for ANOVA from F and Sum of Squares
Eta and Coefficient of Determination (R2) for ANOVA from F
Eta for ANOVA from F and Sum of Squares
Partial Eta Squared for ANOVA from F and Sum of Squares
d-g Corrected for Independent t
Partial Generalized Eta-Squared for Mixed Design ANOVA from F
Partial Generalized Eta-Squared for ANOVA from F
Chi-Square Odds Ratios
Omega Squared for ANOVA from F
Omega Squared for One-Way and Multi-Way ANOVA from F
Generalized Omega Squared for Multi-Way and Mixed ANOVA from F
Partial Omega Squared for Between Subjects ANOVA from F
Partial Omega Squared for Repeated Measures ANOVA from F
r to Coefficient of Determination (R2) from F
V for Chi-Square
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, <ISBN:1433805618>) 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 <doi:10.1038/nmeth.3288>). A test may be statistically significant, yet practically inconsequential (Fritz, Scherndl, & Kühberger, 2012 <doi:10.1177/0959354312436870>). Although the American Psychological Association has long advocated for the inclusion of effect sizes (Wilkinson & American Psychological Association Task Force on Statistical Inference, 1999 <doi:10.1037/0003-066X.54.8.594>), the vast majority of peer-reviewed, published academic studies stop short of reporting effect sizes and confidence intervals (Cumming, 2013, <doi:10.1177/0956797613504966>). 'MOTE' simplifies the use and interpretation of effect sizes and confidence intervals. For more information, visit <https://www.aggieerin.com/shiny-server>.