I've written a practical primer on how to calculate and report effect sizes for t-tests and F-tests. This article is now published at Frontiers in Cognition. It's Open Access, and you can download it here. Since a lot of people are finding this website, please note you can download a spreadsheet to calculate effect sizes when you have the data, and my new effect size spreadsheet (From_R2D2) that you can use to calculate effect sizes from the published literature, or that can be used to convert between effect sizes, here: http://openscienceframework.org/project/ixGcd/
These resources allow you to calculate effect sizes from t-tests and F-tests, or convert between r and d for within and between designs. There's also a spreadsheet that allows you to calculate Cohen's q, and a spreadsheet that allows you to convert p-values to Z-scores (and back).
If you found it useful and want to cite the paper or spreadsheets, you can do so as:
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4:863. doi:10.3389/fpsyg.2013.00863