Hello everyone!
This is the Yinaoyun scientific research circle, I am sister Miaojun~
What I share with you today is the first part of the series of simple effect tests in SPSS ANOVA introduced by Dr. Bao Han and Wu Shuang - simple effect tests in SPSS ANOVA: a complete tutorial.
SPSS is an entry-level statistical analysis software, and ANOVA is also an entry-level statistical analysis method.
When you have a significant interaction, whether it is a second-order, third-order, or even fourth-order interaction, the next step is the "simple effect test" (for the third-order interaction, it is "simple simple effect test").
Strictly speaking, "simple effect test" is "simple main effect test", because there is also a corresponding extremely unpopular concept called "simple interaction test" (any test about interaction is not the ultimate goal, and it must be done in the end Simple effect test, and for factors with a level greater than 2, further multiple comparisons under the simple effect test are required).
This simple effects test is not entry-level, it is not that "simple".
If SPSS is used to test simple effects, we must use the syntax programming statement of SPSS, and it is impossible to realize it completely in the menu window.
In some cases, you can make slight changes to the GLM (General Linear Model) statement, that is, click "paste" after you operate the variance analysis in the menu, and modify the "/EMMEANS" clause in it.
However, GLM's EMMEANS is not a panacea for all situations. In contrast, although the MANOVA (multivariate analysis of variance) statement can only be programmed in the syntax window and cannot be completed with the help of the menu, it can be applied to all situations. Therefore, it is necessary for us to study systematically how to write our MANOVA statement.
Don't gossip, just post the PPT directly, each page hides a lot of information, read all the PPT carefully, and apply these skills to your data analysis, you should be able to become a simple effect test, simple simple effect test, A master of simple interaction tests (these tests are called "simple" and they are not simple...).
01
Two-factor between-subjects design
The comparison between GLM and MANOVA in the ANOVA of the two-factor between-subjects design is shown in the figure below.
After learning to use SPSS to operate, let us learn how to look at the results of the simple effect test of MANOVA.
02
Two-factor within-subjects design
The comparison between GLM and MANOVA in the two-factor within-subject design analysis of variance is shown in the figure below.
Let us also see how to interpret the results of the MANOVA simple effect test.
03
two-factor mixed design
The comparison between GLM and MANOVA in two-factor mixed design analysis of variance is shown in the figure below.
The results of the MANOVA simple effects test are as follows.
04
Three-factor experimental design
05
Induction and summary
That’s all for today’s sharing, please look forward to the next issue for more content!
Content | Bao Han and Wu Shuang
Typesetting | Right Right
Proofreading |