Type I, Type II, and Occasionally Type III: How Can We Go Wrong?

An important part of planning a study is deciding what risk of drawing incorrect conclusions is acceptable. Type I error occurs when a study draws a false-positive conclusion. A false negative, not appreciating a difference when one exists, is known as type II error. This article reviews the difference between the 2 common types of error and discusses conventions used to set acceptable error levels.