Decentralization of SPSS interaction

1. Centralization is to subtract the mean and Z-score is to divide it by the standard deviation. Both of them are centralization methods.

2. Multivariate analysis of variance can determine whether there is interaction between variables. In analyze - General Linear Model - uniform

3. Analyze -- General Linear Model -- uniform, select plot, add the two elements to be analyzed, the independent variable and the dependent variable to the abscissa and ordinate respectively, and then the scatter diagram can be generated by interaction.

4. I'm a beginner
in my experience, it's the same as upstairs & quot; In the analysis - General Linear Model - uniform & quot
but pay attention to select the plots button. After entering, select the quantity you want to analyze and drag it to the box. You can try it. It should be the plots button to do the interactive analysis diagram

5. Interaction refers to the effect of the performance of two independent variables on the dependent variable. Therefore,
length of service * wage level represents the interaction effect. Whether sig is significant or not can be seen from sig & lt; 001, so the interaction is significant, that is, there is interaction.

6. Interaction refers to the effect of the performance of two independent variables on the dependent variable. Therefore, length of service * wage level represents the interaction effect. If sig is significant, SIG & lt can be seen; 001, so the interaction is significant, that is, there is interaction.

7. Multivariate analysis of variance was used
in SPSS, analyze - & gt; GENERAL LINEAR MODEL-> Univariate.
put the dependent variable (such as a certain Psychology) into the dependent variable. Put three independent variables into the fixed factor. The following things can be directly default, and then click OK, the output results have the main effect of three variables, but also their interaction effect
you can look through the relevant books.

8. It's not so troublesome. It's very easy: in the main interface of logistic regression, select the two variables of monthly income and ecation level at the same time (hold down the CTRL key, click monthly income and ecation level respectively with the mouse), and then click & gt; a*b> Just press the key.

9. This is the conclusion of ANOVA. If you want to get the specific size of main effect and interaction effect, you can do logit log linear model to see the size of main effect and interaction effect respectively