ANOVAN main effects versus t-test for a 2 way anova

4 次查看(过去 30 天)
I have run a two way anova using the anovan function, which gives as outputs main effects. To my knowledge, the test of main effects within one factor in a 2 way anova should be the same as doing a ttest (independent samples). However, I do not get the same result when I run ttest2 on one factor at a time.
Is there a reason for this?
Thank you

回答(1 个)

Star Strider
Star Strider 2017-2-27
The multcompare (link) function is the correct approach. It automatically adjusts the t-statistics for multiple comparisons.
  2 个评论
Jessica Benady-Chorney
Sorry, this function is the correct approach as compared to which approach? My use of anovan or my use of ttest2?
Star Strider
Star Strider 2017-2-27
Your use of ttest2.
If anovan is giving you the results that you believe are appropriate, then it’s likely correct.
The ttest2 function compares two independent data vectors, assuming they are your only data.
The multcompare function does the appropriate corrections for multiple comparisons because it takes into account the number of two-way comparisons necessary.

请先登录,再进行评论。

类别

Help CenterFile Exchange 中查找有关 Analysis of Variance and Covariance 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by