Eta squared is a popular effect size, but contains positive bias. Bootstrapping can be used to remove the bias from eta squared. Compared to epsilon squared and omega squared, bootstrap bias correction does not make distributional assumption, and it is easy to implement. A real example and computer simulations are included to illustrate its application. The bootstrap bias-corrected eta squared shows very little bias, and it serves as a good alternative to eta squared and epsilon squared, the latter of which can turn negative in some circumstances.

中文翻译：

---

单向方差分析中 eta 平方的偏差校正

Eta squared 是一种流行的效应大小，但包含正偏差。自举可用于消除 eta 平方的偏差。与epsilon squared和omega squared相比，bootstrap偏差校正不做分布假设，易于实现。包括一个真实的例子和计算机模拟来说明它的应用。bootstrap 偏差校正的 eta squared 显示出非常小的偏差，它是 eta squared 和 epsilon squared 的一个很好的替代品，后者在某些情况下可能会变为负数。