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You can compare nested models with a likelihood ratio test. However please try not to be driven only by p-values. If you have reason to believe that either program characteristics and/or sentencing characteristics should have an impact on the outcome, then include then in your model and don't do a statistical test. Also, keep in mind that depending on the ...


Anova (using F-test) could be used for nested models: anova(model_a, model_b, model_c) p-value would indicate which nested model is sufficient


Your study design is not at all clear - can you provide more details to help potential responders understand what is really going on? What is clear is that you selected 5 locations where the soil is heated and 5 locations where the soil is non-heated. But what exactly are you measuring at each location, how and how often? For example, if you gather seeds of ...

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