请问两因素被试间方差分析不符合正态分布，但是样本量比较大怎么办？

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

请教SPSS大神，在做两因素被试间方差分析时候，数据均不符合正态分布，但是每个因子下的样本量比较大，N>300，即年级X性别，还需要考虑是否为正态分布么，谢谢啦

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：方差分析 正态分布 样本量 怎么办 SPSS 正态分布 因变量

The one-way ANOVA is considered a robust test against the normality assumption. This means that it tolerates violations to its normality assumption rather well. As regards the normality of group data, the one-way ANOVA can tolerate data that is non-normal (skewed or kurtotic distributions) with only a small effect on the Type I error rate. However, platykurtosis can have a profound effect when your group sizes are small. This leaves you with two options: (1) transform your data using various algorithms so that the shape of your distributions become normally distributed or (2) choose the non-parametric Kruskal-Wallis H Test which does not require the assumption of normality.
http://www2.hawaii.edu/~halina/603/Transform.pdf

谢谢指导