How can the results be grouped in terms of significant differences in two-way ANOVA analysis in SPSS to evaluate the simultaneous effect of two independent variables on an index?
I suspect your question is not clear. Can you say specifically what your results look like, and what results you want ?
I agree with Salvatore but I believe that you will find that doing the calculation as a regression will help you with the problem. Best wishes David Booth
In a completely randomized design with three independent replications, I measured the effect of the treatment of 4 different concentrations of salinity in 6 different time intervals on several parameters (such as proline content). Because I have two independent variables, I did a two-way ANOVA analysis of variance with Duncan's test at the 0.05 level through the General linear model-univariate. The output of this analysis in SPSS does not show the grouping ( in terms of statistical significance) of the simultaneous effect (or interaction effect) of two variables on each of the parameters. How can I perform the grouping (in terms of statistical significance) of the simultaneous effect of two variables on each of the parameters to compare the effect of different concentrations of salinity in different time periods on each of the parameters?
It sounds like you want to get a post-hoc test on the interaction effect. You will probably want to use the EMMEANS subcommand in SPSS. I'm not very familiar with SPSS, but you may need to use the syntax interface to employ this.
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