To implement multiple imputation in nursing research, follow these steps:
Identify the Missing Data: Determine the extent and pattern of missing data in your dataset. Choose an Imputation Model: Select an appropriate model based on the type of data and the underlying mechanisms of missingness. Generate Imputed Datasets: Use specialized software (e.g., R, Stata) to create multiple imputed datasets. Analyze the Datasets: Perform statistical analysis on each of the imputed datasets separately. Combine Results: Pool the results using Rubin's rules to obtain final estimates and confidence intervals.
