Question

A researcher is investigating the relationship between the length of criminal trials and the likelihood of conviction. They want to use jurimetrics to analyze this relationship. However, they encounter a dataset with missing information regarding the length of some trials. Which of the following approaches is the MOST appropriate and statistically sound method to address this missing data in the context of jurimetrics research?

• A. Imputing missing values using the mean duration of all trials
• B. Excluding cases with missing data from the analysis, potentially leading to biased results
• C. Using a statistical technique like multiple imputation to estimate missing values based on available data
• D. Ignoring the missing data altogether and focusing on cases with complete information, reducing the sample size and potentially affecting generalizability

Answer 1

The Correct Option is C

Multiple imputation is a widely accepted and statistically sound method for handling missing data, as it estimates missing values using available information and reduces bias compared to methods like mean imputation.