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?
See duplicate question: https://www.researchgate.net/post/How_can_the_results_be_grouped_in_terms_of_significant_differences_in_two-way_ANOVA_analysis_in_SPSS
If I understand the question as posed,
The easiest way is to ignore the p-values and read the attached papers. P-values selection just doesn't work. David Booth Mea culpa if I don't understand the original question. David Booth
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