In the field of nursing, data integrity is crucial for evidence-based practice and clinical decision-making. Missing data can occur for various reasons, such as non-responses in surveys or incomplete patient records. Mean imputation helps to maintain the quality of data, ensuring that research findings and clinical recommendations are based on comprehensive datasets.
