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在教育实验评价中,对测得的数据和事实进行分析、比较、推断,从而正确地作出关于实验质量的价值判断,是一项十分重要而又相当困难的工作。对于几乎涵盖了一切学校教育因素的整体实验来说,尤其不易。因为教育是一项非常复杂的系统工程,某一教育效果,常常是出自多方面因素不同程度的或明或暗的影响,单一地或者机械地使用常用统计方法,往往不得要领。因此,必须在实践中,合理运用常用统计方法,并不断探索新的简便而有效的科学统计方法。不然的话,要么无从下手,要么下结论时失之片
In the evaluation of educational experiments, analyzing, comparing and inferring the measured data and facts, and thus correctly making a value judgment on the quality of the experiment, is a very important and quite difficult task. It is particularly difficult for an overall experiment that covers almost all aspects of school education. Because education is a very complicated systematic project, the effect of a certain education often comes from a variety of factors, such as the influence of bright or dark. It is often not possible to use common statistical methods either singly or mechanically. Therefore, it is imperative to rationally use common statistical methods in practice and constantly explore new simple and effective scientific statistical methods. Otherwise, either there is no way to start, or when the conclusion is lost