This article reviews the arguments for reporting effect size estimates as part of the statistical results in empirical studies. Following this review, formulas are presented for the calculation of major mean-difference and association-based effect size measures for t tests, one-way ANOVA, zero order correlation, simple regression, multiple regression, and chi-square. The emphasis is on the presentation formulas that make the calculation of effect size measures as easy as possible. In most cases, the formula components are readily available and easily recognizable on the output from most major statistical software. Examples of effect size reporting with guidelines for design and analytic variations are provided. (Contains 2 tables and 1 figure.)