样本量估计与检验效能分析(七)(英文)

Estimation of sample size and testing power(Part 7)

所谓两因素析因设计,是指试验中涉及两个试验因素,不同的试验条件数等于两个试验因素的水平数的乘积,即由试验因素的水平全面组合而成。全部受试对象被完全随机地分配到各试验条件组中去。做试验时,全部试验因素同时施加(即无先后顺序之分);对资料进行统计分析时,试验因素地位平等(即不存在主次之分,也不存在嵌套关系)。本文向读者介绍采用两因素析因设计一元定量资料方差分析处理定量资料时,在试验之前如何估计样本含量与检验效能。

Two-factor factorial design refers to the research involving two experimental factors and the number of the experimental groups equals to the product of the levels of the two experimental factors. In other words, it is the complete combination of the levels of the two experimental factors. The research subjects are randomly divided into the experimental groups. The two experimental factors are performed on the subjects at the same time, meaning that there is no order. The two experimental factors are equal during statistical analysis, that is to say, there is no primary or secondary distinction, nor nested relation. This article introduces estimation of sample size and testing power of quantitative data with two-factor factorial design.