The prediction of parametric rolling in ships remains a critical area of research due to the significant impact on maritime safety and vessel performance. Among the various parameters influencing parametric rolling, roll damping is notoriously challenging to assess due to its nonlinear nature. Accurate prediction of roll damping is essential for reliable parametric rolling simulations. Traditional methods such as the Ikeda method provide valuable insights but are limited in scope, often tailored to specific instances of wave height and wavelength. Decay tests, while useful for individual cases, lack general applicability across a wide range of conditions. Computational Fluid Dynamics (CFD) offers a more comprehensive approach, enabling the analysis of complex interactions between the vessel and the surrounding fluid. However, CFD simulations are computationally intensive and require significant resources. This paper reviews the current methodologies for assessing roll damping, highlighting their advantages and limitations. It underscores the need for integrated approaches that combine empirical data, analytical methods, and advanced simulations to achieve more accurate and reliable predictions of parametric rolling across diverse maritime conditions.