Advice for Multiplicative Interactions

When it comes to multiplicative interactions, there are several pieces of advice that can be offered to help you maximize your results. First, it is important to identify any possible interactions that could lead to a multiplicative outcome. This may require careful analysis and examination of the dataset to identify unexpected correlations. Second, it is also important to ensure that you scale your independent variables and/or rescale them if needed, to ensure that the most accurate multiplicative predictions are possible. Third, it is important to use thoughtful visualizations or statistical tests to verify that a multiplicative interaction truly exists. Fourth, it is important to keep the interaction terms to a minimum in order to avoid the potential of masking main effects and overfitting models. Finally, it is important to thoroughly explore the interpretability of interactive models and have an intuitive understanding of why certain terms interact.