(SPSS 25) How to Perform Two-Way ANCOVA easier interpretation

If you like this video give it a thump up and to see more videos subscribe to my channel.
The aim of using two-way ANCOVA is to test the impact of the three levels of socioeconomic status on dependent variable read. The three levels are going to be measured on read variable. We use covariate write, so we want to eliminate the effect of the covariate on the dependent variable read. Also, we have another independent variable schtype whether have an effect on read, so we want to see if there is an interaction between the two independent variables (schtype and levels)
Here we have four variables two dependent variables such as read and write (Continues or Scale) so the covariate is going to be write, and Two independent variables Categorical variables (levels and schtype). Levels with three levels (low-level middle level and high level).
Before I test for ANCOVA I demonstrate for ANOVA with three variables Two continues such as Read as a dependent variable and Write continues as well used as a control variable or Covariate variable. And two independent variables are categorical variables such as levels and schtype.
In Two-Way ANCOVA is a little different than one Way ANCOVA. In One Way ANCOVA, I use one independent variable which is a categorical variable (levels), and one covariate variable with one dependent variable Read.
Steps :
1. Test all the ANCOVA assumption
2. Run ANOVA with three variables but without the covariate and select Full Factorial Model the most important table in the output to look at Tests of Between-Subjects Effects.
3. Run ANCOVA with covariate variable using Custom Model with three interaction set: covarite*independent variable and covariate* another independent variable then use the interaction of three variable as covarite*inependent variable*independent variable.
4. run ANCOVA with Full Factorial Model include covariate variable and look at the Tests of Between-Subjects Effects table, then compare the error of the covariance for both model ANOVA and ANCOVA.

[@Ehab3390]

Very good uncle keep it up all the best to you