To avoid misleading scales, researchers should adhere to best practices in data representation. This includes using consistent scales, starting axes at zero when appropriate, and clearly labeling all units and variables. Additionally, it's important to disclose all normalization methods and ensure they are justified and relevant to the data being presented.
