Listwise Deletion is a method used in statistical analysis to handle missing data. In this approach, any case (or participant) with one or more missing values is completely removed from the dataset. This ensures that all analyses are conducted on complete cases, which can simplify the interpretation of results. While Listwise Deletion is straightforward, it can lead to a loss of valuable information, especially if many cases have missing data. This method assumes that the missing data is random, which may not always be the case, potentially introducing bias into the analysis.