Tables are often very helpful for summarizing the models in a study. Here, we can see three models and the impact of each of the predictors (main effect of individual variables [e.g., Dog] plus interaction effects [e.g., Dog x Social Support]) on the different outcomes. We want to look at the most complex module, which means the model with the most predictors. Model 1: Dog vs. No Pet. Model 2: Cat vs. No Pet. Model 3: Dog + Cat vs. No Pet. Do they differ in the number of predictors? If so, use the largest number of predictors to substitute for k in the Rule of Thumb